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2020 – today
- 2024
[j54]Tapas Chakraborty
, Rudrajit Bhattacharyya, Nibaran Das, Subhadip Basu, Mita Nasipuri:
MAuD: a multivariate audio database of samples collected from benchmark conferencing platforms. Multim. Tools Appl. 83(13): 38465-38479 (2024)- [j53]Kalpita Dutta, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
Natural scene text localization and detection using MSER and its variants: a comprehensive survey. Multim. Tools Appl. 83(18): 55773-55810 (2024) - [j52]Arnab Banerjee, Somenath Sarkar, Mita Nasipuri, Nibaran Das:
Skin Diseases Detection Using LBP and WLD: An Ensembling Approach. SN Comput. Sci. 5(1): 72 (2024) - [i44]Anay Panja, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss. CoRR abs/2403.10880 (2024) - [i43]Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images. CoRR abs/2403.10881 (2024) - [i42]Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy, Nibaran Das:
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation. CoRR abs/2403.10884 (2024) - [i41]Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy, Nibaran Das:
Could We Generate Cytology Images from Histopathology Images? An Empirical Study. CoRR abs/2403.10885 (2024) - [i40]Sayan Rakshit, Hmrishav Bandyopadhyay, Nibaran Das, Biplab Banerjee:
Incremental Open-set Domain Adaptation. CoRR abs/2409.00530 (2024) - [i39]Dibyasree Guha, Shyamali Mitra, Somenath Kuiry, Nibaran Das:
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images. CoRR abs/2409.15958 (2024) - 2023
- [j51]Soumyajyoti Dey, Shyamali Mitra, Sukanta Chakraborty, Debashri Mondal, Mita Nasipuri, Nibaran Das:
GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images. Comput. Biol. Medicine 152: 106329 (2023) - [j50]Swarnendu Ghosh, Teresa Gonçalves, Nibaran Das:
Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies. Future Internet 15(2): 70 (2023) - [j49]Jaya Paul, Kalpita Dutta, Anasua Sarkar, Nibaran Das, Kaushik Roy:
A survey on different feature extraction methods for writer identification and verification. Int. J. Appl. Pattern Recognit. 7(2): 122-144 (2023) - [j48]Bidhan Barai, Nibaran Das, Subhadip Basu, Mita Nasipuri:
An empirical study on analysis window functions for text-independent speaker recognition. Int. J. Speech Technol. 26(1): 211-220 (2023) - [j47]Nibaran Das, Bodhisatwa Mandal, KC Santosh, Linlin Shen, Sukanta Chakraborty:
Cervical cancerous cell classification: opposition-based harmony search for deep feature selection. Int. J. Mach. Learn. Cybern. 14(11): 3911-3922 (2023) - [i38]Aadarsh G. Goenka, Shyamali Mitra, Mrinal K. Naskar, Nibaran Das:
ULGss: A Strategy to construct a Library of Universal Logic Gates for N-variable Boolean Logic beyond NAND and NOR. CoRR abs/2308.11395 (2023) - 2022
- [j46]Arnab Banerjee, Arijit Das, Samarendra Behra, Debotosh Bhattacharjee, Nagesh Talagunda Srinivasan, Mita Nasipuri, Nibaran Das:
Carp-DCAE: Deep convolutional autoencoder for carp fish classification. Comput. Electron. Agric. 196: 106810 (2022) - [j45]Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakraborty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Toward Automation: Systematically Revisited. ACM Comput. Surv. 54(3): 52:1-52:41 (2022) - [j44]Bidhan Barai, Tapas Chakraborty, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Closed-set speaker identification using VQ and GMM based models. Int. J. Speech Technol. 25(1): 173-196 (2022) - [j43]Shubhadeep Bhowmick, Somenath Kuiry, Alaka Das, Nibaran Das, Mita Nasipuri:
Deep Learning-Based Outdoor Object Detection Using Visible and Near-Infrared Spectrum. Multim. Tools Appl. 81(7): 9385-9402 (2022) - [j42]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. Pattern Recognit. Lett. 155: 41-47 (2022) - [j41]Arnab Banerjee, Nibaran Das, KC Santosh:
Weber local descriptor for image analysis and recognition: a survey. Vis. Comput. 38(1): 321-343 (2022) - [c46]Agnimitra Sen, Shyamali Mitra, Sukanta Chakraborty, Debashri Mondal, KC Santosh, Nibaran Das:
Ensemble Framework for Unsupervised Cervical Cell Segmentation. CBMS 2022: 345-350 - [c45]Avirup Dey, Mita Nasipuri, Nibaran Das:
Variational Augmentation for Enhancing Historical Document Image Binarization✱. ICVGIP 2022: 40:1-40:7 - [c44]Ruchika Chavhan, Biplab Banerjee, Nibaran Das:
Semi-supervised Multi-domain Learning for Medical Image Classification. RTIP2R 2022: 22-33 - [c43]Arnab Banerjee, Srijoy Paul, Tisu Priya, Anamika Rohit, Nibaran Das:
A Deep Learning-Powered Voice-Enabled Math Tutor for Kids. RTIP2R 2022: 406-417 - [i37]Avirup Dey, Nibaran Das, Mita Nasipuri:
Variational Augmentation for Enhancing Historical Document Image Binarization. CoRR abs/2211.06581 (2022) - 2021
- [j40]Shantanu Jana, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications. Int. J. Digit. Crime Forensics 13(6): 1-20 (2021) - [j39]Swarnendu Ghosh, Nibaran Das, Priyam Sarkar, Mita Nasipuri:
JU-VNT: a multi-spectral dataset of indoor object recognition using visible, near-infrared and thermal spectrum. Multim. Tools Appl. 80(12): 17807-17826 (2021) - [j38]Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy:
LWSINet: A deep learning-based approach towards video script identification. Multim. Tools Appl. 80(19): 29095-29128 (2021) - [j37]Bodhisatwa Mandal, Ritesh Sarkhel, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks. Pattern Recognit. 109: 107595 (2021) - [j36]Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das:
Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection. SN Comput. Sci. 2(5): 369 (2021) - [c42]Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. CICBA 2021: 105-117 - [c41]Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Exploring Knowledge Distillation of a Deep Neural Network for Multi-script Identification. CICBA 2021: 150-162 - [c40]Tanmoy Sarkar, Animesh Hazra, Nibaran Das:
Classification of Colorectal Cancer Histology Images Using Image Reconstruction and Modified DenseNet. CICBA 2021: 259-271 - [c39]Bisakh Mondal, Shuvayan Ghosh Dastidar, Nibaran Das:
Deep-TDRS: An Integrated System for Handwritten Text Detection-Recognition and Conversion to Speech Using Deep Learning. CVIP (1) 2021: 10-20 - [c38]Kalpita Dutta, Shuvayan Ghosh Dastidar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Script Identification in Natural Scene Text Images by Learning Local and Global Features on Inception Net. CVIP (1) 2021: 458-467 - [d1]Sk Md Obaidullah, Chayan Halder, KC Santosh, Nibaran Das, Kaushik Roy:
PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts. IEEE DataPort, 2021
- [i36]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. CoRR abs/2102.01120 (2021) - [i35]Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. CoRR abs/2102.03115 (2021) - [i34]Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification. CoRR abs/2102.10335 (2021) - [i33]Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das:
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits. CoRR abs/2104.11620 (2021) - [i32]Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das:
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection. CoRR abs/2106.04919 (2021) - [i31]Hmrishav Bandyopadhyay, Shuvayan Ghosh Dastidar, Bisakh Mondal, Biplab Banerjee, Nibaran Das:
A distillation based approach for the diagnosis of diseases. CoRR abs/2108.03470 (2021) - [i30]Rohit Kundu, Hritam Basak, Akhil Koilada, Soham Chattopadhyay, Sukanta Chakraborty, Nibaran Das:
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification. CoRR abs/2108.09460 (2021) - 2020
- [j35]Riya Guha, Nibaran Das, Mahantapas Kundu, Mita Nasipuri, KC Santosh:
DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2052009:1-2052009:20 (2020) - [j34]Soumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah, KC Santosh, Kaushik Roy, Nibaran Das:
Improved word-level handwritten Indic script identification by integrating small convolutional neural networks. Neural Comput. Appl. 32(7): 2829-2844 (2020) - [j33]Kalpita Dutta, Malyaban Bal, Arpita Basak, Swarnendu Ghosh, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Multi scale mirror connection based encoder decoder network for text localization. Pattern Recognit. Lett. 135: 64-71 (2020) - [c37]Bisakh Mondal, Nibaran Das, KC Santosh, Mita Nasipuri:
Improved Skin Disease Classification Using Generative Adversarial Network. CBMS 2020: 520-525 - [c36]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping. ICPR 2020: 10548-10554 - [c35]Soumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah, KC Santosh, Kaushik Roy, Nibaran Das:
Deep Learning for Word-Level Handwritten Indic Script Identification. RTIP2R (1) 2020: 499-510 - [p1]Shyamali Mitra, Soumyajyoti Dey, Nibaran Das, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar:
Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks. Intelligent Computing Paradigm 2020: 103-122 - [i29]Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri:
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation. CoRR abs/2003.05710 (2020) - [i28]Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty, Nibaran Das:
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images. CoRR abs/2003.05712 (2020) - [i27]Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator. CoRR abs/2003.06872 (2020) - [i26]Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited. CoRR abs/2003.07529 (2020) - [i25]Arnab Banerjee, Nibaran Das, Mita Nasipuri:
Skin Diseases Detection using LBP and WLD- An Ensembling Approach. CoRR abs/2004.04122 (2020) - [i24]Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition. CoRR abs/2004.12769 (2020) - [i23]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping. CoRR abs/2007.09824 (2020)
2010 – 2019
- 2019
- [j32]Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik:
Understanding Deep Learning Techniques for Image Segmentation. ACM Comput. Surv. 52(4): 73:1-73:35 (2019) - [j31]Sk Md Obaidullah, KC Santosh, Chayan Halder, Nibaran Das, Kaushik Roy:
Automatic Indic script identification from handwritten documents: page, block, line and word-level approach. Int. J. Mach. Learn. Cybern. 10(1): 87-106 (2019) - [j30]Swarnendu Ghosh, Anisha Pal, Shourya Jaiswal, KC Santosh, Nibaran Das, Mita Nasipuri:
SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving. Int. J. Mach. Learn. Cybern. 10(11): 3145-3154 (2019) - [j29]Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
Reshaping inputs for convolutional neural network: Some common and uncommon methods. Pattern Recognit. 93: 79-94 (2019) - [j28]Anisha Gupta, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu:
Multiobjective optimization for recognition of isolated handwritten Indic scripts. Pattern Recognit. Lett. 128: 318-325 (2019) - [c34]Swarnendu Ghosh, Prasenjit Shaw, Nibaran Das, KC Santosh:
GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection. GREC@ICDAR 2019: 68-73 - [c33]Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy:
Identifying the Presence of Graphical Texts in Scene Images using CNN. GREC@ICDAR 2019: 86-91 - [i22]Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das:
Handwritten Indic Character Recognition using Capsule Networks. CoRR abs/1901.00166 (2019) - [i21]Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri:
Using dynamic routing to extract intermediate features for developing scalable capsule networks. CoRR abs/1907.06062 (2019) - [i20]Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik:
Understanding Deep Learning Techniques for Image Segmentation. CoRR abs/1907.06119 (2019) - [i19]Animesh Singh, Sandip Saha, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network. CoRR abs/1912.12405 (2019) - 2018
- [j27]Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma, Mahantapas Kundu:
The journey of graph kernels through two decades. Comput. Sci. Rev. 27: 88-111 (2018) - [j26]Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri:
An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm. Eng. Appl. Artif. Intell. 67: 317-330 (2018) - [j25]Sandipan Choudhuri, Nibaran Das, Ritesh Sarkhel, Mita Nasipuri:
Object Localization on Natural Scenes: A Survey. Int. J. Pattern Recognit. Artif. Intell. 32(2): 1855001:1-1855001:39 (2018) - [j24]Sk Md Obaidullah, KC Santosh, Nibaran Das, Chayan Halder, Kaushik Roy:
Handwritten Indic Script Identification in Multi-Script Document Images: A Survey. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1856012:1-1856012:26 (2018) - [j23]Sk Md Obaidullah, Amitava Bose, Himadri Mukherjee, KC Santosh, Nibaran Das, Kaushik Roy:
Extreme learning machine for handwritten Indic script identification in multiscript documents. J. Electronic Imaging 27(05): 051214 (2018) - [j22]Sk Md Obaidullah, Chayan Halder, KC Santosh, Nibaran Das, Kaushik Roy:
PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identification. Multim. Tools Appl. 77(2): 1643-1678 (2018) - [j21]Pawan Kumar Singh, Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images. Multim. Tools Appl. 77(7): 8441-8473 (2018) - [c32]Bidhan Barai, Debayan Das, Nibaran Das, Subhadip Basu, Mita Nasipuri:
VQ/GMM-Based Speaker Identification with Emphasis on Language Dependency. ACSS (2) 2018: 125-141 - [c31]Subhasmita Ghosh, Ashif Sheikh, Sk. Golam Sarowar Hossain, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy:
Handwritten Indic Script Identification - A Multi-level Approach. CICBA (2) 2018: 109-123 - [c30]Anisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
SegFast: A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions. ICVGIP 2018: 53:1-53:7 - [c29]Mridul Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy:
Artistic Multi-character Script Identification Using Iterative Isotropic Dilation Algorithm. RTIP2R (3) 2018: 49-62 - [c28]Subhasmita Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy:
A Survey on Extreme Learning Machine and Evolution of Its Variants. RTIP2R (1) 2018: 572-583 - [i18]Soumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah, KC Santosh, Kaushik Roy, Nibaran Das:
Deep learning for word-level handwritten Indic script identification. CoRR abs/1801.01627 (2018) - [i17]Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach. CoRR abs/1802.00671 (2018) - [i16]Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel, Sandipan Choudhuri, Nibaran Das, Mita Nasipuri:
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling. CoRR abs/1803.05200 (2018) - 2017
- [j20]Sk Md Obaidullah, KC Santosh, Chayan Halder, Nibaran Das, Kaushik Roy:
Word-Level Multi-Script Indic Document Image Dataset and Baseline Results on Script Identification. Int. J. Comput. Vis. Image Process. 7(2): 81-94 (2017) - [j19]Sk Md Obaidullah, Chitrita Goswami, KC Santosh, Nibaran Das, Chayan Halder, Kaushik Roy:
Separating Indic Scripts with matra for Effective Handwritten Script Identification in Multi-Script Documents. Int. J. Pattern Recognit. Artif. Intell. 31(5): 1753003:1-1753003:17 (2017) - [j18]Ritesh Sarkhel, Tithi Mitra Chowdhury, Mayuk Das, Nibaran Das, Mita Nasipuri:
A novel Harmony Search algorithm embedded with metaheuristic Opposition Based Learning. J. Intell. Fuzzy Syst. 32(4): 3189-3199 (2017) - [j17]Ritesh Sarkhel, Nibaran Das, Aritra Das, Mahantapas Kundu, Mita Nasipuri:
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts. Pattern Recognit. 71: 78-93 (2017) - [j16]Saikat Roy, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach. Pattern Recognit. Lett. 90: 15-21 (2017) - 2016
- [j15]Sk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy:
A new dataset of word-level offline handwritten numeral images from four official Indic scripts and its benchmarking using image transform fusion. Int. J. Intell. Eng. Informatics 4(1): 1-20 (2016) - [j14]Sk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy:
Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario. Int. J. Serv. Sci. Manag. Eng. Technol. 7(1): 43-60 (2016) - [j13]Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri:
A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition. Pattern Recognit. 58: 172-189 (2016) - [c27]Sk Md Obaidullah, Chitrita Goswami, KC Santosh, Chayan Halder, Nibaran Das, Kaushik Roy:
Separating Indic Scripts with 'matra' - A Precursor to Script Identification in Multi-script Documents. CVIP (1) 2016: 205-214 - [c26]Sandipan Choudhuri, Nibaran Das, Mita Nasipuri:
A Quality-Concordance Metric Based Contour Detection by Utilizing Composite-Cue Information and Particle Swarm Optimisation. FICTA (1) 2016: 641-651 - [c25]Tathagata Bandyopadhyay, Sreetama Mitra, Shyamali Mitra, Luís Miguel Rato, Nibaran Das:
Analysis of Pancreas Histological Images for Glucose Intolerance Identification Using Wavelet Decomposition. FICTA (1) 2016: 653-661 - [c24]Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma:
Representing image captions as concept graphs using semantic information. ICACCI 2016: 162-167 - [c23]Sandipan Choudhuri, Nibaran Das, Swarnendu Ghosh, Mita Nasipuri:
A multi-cue information based approach to contour detection by utilizing superpixel segmentation. ICACCI 2016: 1057-1063 - [c22]Sk Md Obaidullah, KC Santosh, Chayan Halder, Nibaran Das, Kaushik Roy:
Word-Level Thirteen Official Indic Languages Database for Script Identification in Multi-script Documents. RTIP2R 2016: 16-27 - [c21]Arnab Banerjee, Nibaran Das, Mita Nasipuri:
Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor. RTIP2R 2016: 277-292 - [i15]Ritesh Sarkhel, Amit K. Saha, Nibaran Das:
An Enhanced Harmony Search Method for Bangla Handwritten Character Recognition Using Region Sampling. CoRR abs/1605.00420 (2016) - 2015
- [j12]Nibaran Das, Ram Sarkar, Subhadip Basu, Punam Kumar Saha, Mahantapas Kundu, Mita Nasipuri:
Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach. Pattern Recognit. 48(6): 2054-2071 (2015) - [c20]Sk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy:
An Approach for Automatic Indic Script Identification from Handwritten Document Images. ACSS (1) 2015: 37-51 - [c19]Sk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy:
Visual Analytic-Based Technique for Handwritten Indic Script Identification - A Greedy Heuristic Feature Fusion Framework. FICTA 2015: 211-219 - [c18]Sk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy:
PWDB_13: A Corpus of Word-Level Printed Document Images from Thirteen Official Indic Scripts. FICTA 2015: 233-242 - [c17]Debanjan Konar, Siddhartha Bhattacharyya, Nibaran Das, Bijaya Ketan Panigrahi:
A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. ICACCI 2015: 1225-1230 - [c16]Sk Md Obaidullah, Nibaran Das, Chayan Halder, Kaushik Roy:
Indic script identification from handwritten document images - An unconstrained block-level approach. ReTIS 2015: 213-218 - [c15]Paramita Das, Trijit Chatterjee, Sukanta Chakraborty, Debasree Mondal, Nibaran Das:
A texture based approach for automatic identification of benign and malignant tumor from FNAC images. ReTIS 2015: 249-254 - [c14]Ritesh Sarkhel, Amit K. Saha, Nibaran Das:
An enhanced harmony search method for Bangla handwritten character recognition using region sampling. ReTIS 2015: 325-330 - [i14]Ram Sarkar, Bibhash Sen, Nibaran Das, Subhadip Basu:
Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach. CoRR abs/1501.05472 (2015) - [i13]Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu:
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals. CoRR abs/1501.05494 (2015) - [i12]Nibaran Das, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri:
A GA Based approach for selection of local features for recognition of handwritten Bangla numerals. CoRR abs/1501.05495 (2015) - [i11]Nibaran Das, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet. CoRR abs/1501.05497 (2015) - 2014
- [j11]Sk Md Obaidullah, Anamika Mondal, Nibaran Das, Kaushik Roy:
Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers. Appl. Comput. Intell. Soft Comput. 2014: 896128:1-896128:12 (2014) - [j10]Pawan Kumar Singh, Ram Sarkar, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Statistical comparison of classifiers for script identification from multi-script handwritten documents. Int. J. Appl. Pattern Recognit. 1(2): 152-172 (2014) - [j9]Nibaran Das, Kallol Acharya, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
A benchmark image database of isolated Bangla handwritten compound characters. Int. J. Document Anal. Recognit. 17(4): 413-431 (2014) - [j8]Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique. J. Intell. Syst. 23(3): 245-260 (2014) - [j7]Nibaran Das, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma:
Comparison of Different Graph Distance Metrics for Semantic Text Based Classification. Polibits 49: 51-57 (2014) - [c13]Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma:
JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information. SemEval@COLING 2014: 375-379 - [c12]Nibaran Das, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma:
Using Graphs and Semantic Information to Improve Text Classifiers. PolTAL 2014: 324-336 - [i10]Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri:
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set. CoRR abs/1410.0478 (2014) - 2013
- [c11]Anabik Pal, Nibaran Das, Somenath Sarkar, Dwijendranath Gangopadhyay, Mita Nasipuri:
A New Rotation Invariant Weber Local Descriptor for Recognition of Skin Diseases. PReMI 2013: 355-360 - [c10]Pawan Kumar Singh, Ram Sarkar, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Identification of Devnagari and Roman Scripts from Multi-script Handwritten Documents. PReMI 2013: 509-514 - 2012
- [j6]Nibaran Das, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application. Appl. Soft Comput. 12(5): 1592-1606 (2012) - [j5]Nibaran Das, Jagan Mohan Reddy, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A statistical-topological feature combination for recognition of handwritten numerals. Appl. Soft Comput. 12(8): 2486-2495 (2012) - [j4]Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
CMATERdb1: a database of unconstrained handwritten Bangla and Bangla-English mixed script document image. Int. J. Document Anal. Recognit. 15(1): 71-83 (2012) - [i9]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
An MLP based Approach for Recognition of Handwritten 'Bangla' Numerals. CoRR abs/1203.0876 (2012) - [i8]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
Handwritten Bangla Alphabet Recognition using an MLP Based Classifier. CoRR abs/1203.0882 (2012) - 2011
- [j3]Ram Sarkar, Samir Malakar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
Word Extraction and Character Segmentation from Text Lines of Unconstrained Handwritten Bangla Document Images. J. Intell. Syst. 20(3): 227-260 (2011) - [c9]Ram Sarkar, Sanjay Moulik, Nibaran Das, Subhadip Basu, Mita Nasipuri, Dipak Kumar Basu:
Word extraction from unconstrained handwritten Bangla document images using Spiral Run Length Smearing Algorithm. IICAI 2011: 32-46 - [c8]Samir Malakar, Prasenjit Ghosh, Ram Sarkar, Nibaran Das, Subhadip Basu, Mita Nasipuri:
An improved offline handwritten character segmentation algorithm for Bangla script. IICAI 2011: 71-90 - [i7]Srimanta Kundu, Nibaran Das, Mita Nasipuri:
Automatic Detection of Ringworm using Local Binary Pattern (LBP). CoRR abs/1103.0120 (2011) - 2010
- [j2]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A novel framework for automatic sorting of postal documents with multi-script address blocks. Pattern Recognit. 43(10): 3507-3521 (2010) - [i6]Ram Sarkar, Nibaran Das, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
Word level Script Identification from Bangla and Devanagri Handwritten Texts mixed with Roman Script. CoRR abs/1002.4007 (2010) - [i5]Nibaran Das, Bindaban Das, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier. CoRR abs/1002.4040 (2010) - [i4]Ayatullah Faruk Mollah, Subhadip Basu, Nibaran Das, Ram Sarkar, Mita Nasipuri, Mahantapas Kundu:
Text Region Extraction from Business Card Images for Mobile Devices. CoRR abs/1003.0642 (2010) - [i3]Ayatullah Faruk Mollah, Subhadip Basu, Nibaran Das, Ram Sarkar, Mita Nasipuri, Mahantapas Kundu:
Binarizing Business Card Images for Mobile Devices. CoRR abs/1003.0645 (2010) - [i2]Nibaran Das, Ayatullah Faruk Mollah, Sudip Saha, Syed Sahidul Haque:
Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron. CoRR abs/1003.1891 (2010) - [i1]Nibaran Das, Ayatullah Faruk Mollah, Ram Sarkar, Subhadip Basu:
A comparative study of different feature sets for recognition of handwritten Arabic numerals using a Multi Layer Perceptron. CoRR abs/1003.1894 (2010)
2000 – 2009
- 2009
- [j1]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A hierarchical approach to recognition of handwritten Bangla characters. Pattern Recognit. 42(7): 1467-1484 (2009) - [c7]Ram Sarkar, Subhadip Basu, Nibaran Das, Ayatullah Faruk Mollah, Mahantapas Kundu, Mita Nasipuri:
Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique. IICAI 2009: 1861-1872 - [c6]Nibaran Das, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri:
Handwritten Bangla Compound character recognition: Potential challenges and probable solution. IICAI 2009: 1901-1913 - [c5]Abhishek Khandelwal, Pritha Choudhury, Ram Sarkar, Subhadip Basu, Mita Nasipuri, Nibaran Das:
Text Line Segmentation for Unconstrained Handwritten Document Images Using Neighborhood Connected Component Analysis. PReMI 2009: 369-374 - [c4]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
Recognition of Numeric Postal Codes from Multi-script Postal Address Blocks. PReMI 2009: 381-386 - 2007
- [c3]Subhadip Basu, Ram Sarkar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A Fuzzy Technique for Segmentation of Handwritten Bangla Word Images. ICCTA 2007: 427-433 - 2005
- [c2]Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
An MLP based Approach for Recognition of Handwritten 'Bangla' Numerals. IICAI 2005: 407-417 - [c1]Subhadip Basu, Ram Sarkar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
Handwritten Bangla Digit Recognition Using Classifier Combination Through DS Technique. PReMI 2005: 236-241
Coauthor Index
[j54] [j53] [j52] [i44] [i43] [j51] [j48] [j46] [j45] [j44] [j43] [j42] [c45] [i37] [j40] [j39] [j37] [c42] [c41] [c38] [i36] [i35] [i34] [i33] [j35] [j33] [c37] [c36] [p1] [i29] [i27] [i26] [i25] [i24] [i23] [j30] [j29] [i21] [i19] [j26] [j25] [j21] [c32] [c30] [i17] [i16] [j18] [j17] [j16] [j13] [c26] [c23] [c21] [j12] [i12] [i11] [j10] [j9] [j8] [i10] [c11] [c10] [j6] [j5] [j4] [i9] [i8] [j3] [c9] [c8] [i7] [j2] [i6] [i5] [i4] [i3] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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