In this paper, we approach identifying a person using 2D ear imaging. You Only Look Once(YOLO) machine learning (ML) algorithm is used to classify the ear ...
In this paper, a method to recognize human using ear biometrics has been proposed. Traditional image-based approaches to person identification almost.
In this paper, we approach identifying a person using 2D ear imaging. You Only Look Once(YOLO) machine learning (ML) algorithm is used to classify the ear ...
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You Only Look. Once(YOLO) machine learning (ML) algorithm is used to classify the ear images and identify their source person. We collect a standard ear dataset ...
YOLO machine learning (ML) algorithm is used to classify the ear images and identify their source person and the model training accuracy is 82.5%, ...
Automatic person identification from ear images is an active field of research within the biometric community. Similar to other biometrics such as face, ...
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In ear-based biometrics, one of the significant steps is to localize ears in profile face images. Most ear detection approaches use 2D images for ear region ...
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Biometric Security: A Novel Ear Recognition Approach Using a 3D ...
www.ncbi.nlm.nih.gov › PMC9693311
Nov 20, 2022 · In this work, a novel approach based on a 3D morphable model is proposed for human recognition using ear images. For identification, all ...
May 31, 2024 · Data augmentation enhances ear recognition models by introducing synthetic variations [31] , expanding the dataset and aiding adaptation to real ...
... human. identification system based on ear biometrics. First will be taken data sample of the images of the ear or real-time. images. This images will be ...