Fingerprint Classification Based on Statistical Features and Singular ...
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In this paper, an automatic fingerprint classification method is proposed to classify the fingerprint image into one of five classes: Arch, Left loop, Right ...
Abstract. Automatic fingerprint classification is an effective means to increase the matching speed of an Automatic Fingerprint Identification System with a.
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Fingerprint classification based on statistical features and singular point information.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3781,119-126.
Our feature extraction algorithm extracts two types of features: (i) singular points, and (ii) fingerprint ridges. Following is a list of the definitions needed ...
This paper presents a novel approach to fingerprint singular point detection. Singular points (cores and deltas) are used for fingerprint classification, ...
In particular, it discusses the fingerprint singularities features that are useful for distinguishing fingerprint classes and reviews the methods of ...
This paper describes a fingerprint classification algorithm using Artificial Neural Networks (ANN). Fingerprints are classified into six categories.
In this paper, we introduce a new approach to fingerprint classification based on both singularities and traced pseudoridge analysis.
A fast and precise method that directly extracts the directional information from the thinned image of the fingerprint and considers both the direction ...
Apr 26, 2021 · We present the first study that extensively compares the most used CNN architectures by classifying the fingerprints into four, five, and eight classes.