International Journal of Computer Science & Engineering Survey, 2016
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
Among the various biometric techniques for authentication, fingerprint recognition for personal v... more Among the various biometric techniques for authentication, fingerprint recognition for personal verification and identification has received considerable attention over the past decades because of the distinctiveness and persistence properties of fingerprints. Automatic matching phase is one of the main stages in fingerprint recognition. In this paper, a novel two-step hierarchical approach to fingerprint matching is proposed based on global Directional Variance Features (DVF) and local cues. At the first level, the matching reduces to finding the Euclidean distance between the DVFs of the input and stored fingerprints extracted from global characteristics and then uses the presented local structure representation based on spatial relationships between the minutiae and reference point for accurate matching at the next level. Final matching or similarity score is evaluated by combining DVF and Local Structure (LS) matching scores of the query and template fingerprints. The proposed m...
International Journal of Computer Science & Engineering Survey, Aug 30, 2016
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
International Journal of Computer Science & Engineering Survey, 2016
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
Among the various biometric techniques for authentication, fingerprint recognition for personal v... more Among the various biometric techniques for authentication, fingerprint recognition for personal verification and identification has received considerable attention over the past decades because of the distinctiveness and persistence properties of fingerprints. Automatic matching phase is one of the main stages in fingerprint recognition. In this paper, a novel two-step hierarchical approach to fingerprint matching is proposed based on global Directional Variance Features (DVF) and local cues. At the first level, the matching reduces to finding the Euclidean distance between the DVFs of the input and stored fingerprints extracted from global characteristics and then uses the presented local structure representation based on spatial relationships between the minutiae and reference point for accurate matching at the next level. Final matching or similarity score is evaluated by combining DVF and Local Structure (LS) matching scores of the query and template fingerprints. The proposed m...
International Journal of Computer Science & Engineering Survey, Aug 30, 2016
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
Automatic Fingerprint authentication for personal identification and verification has received co... more Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints. Now fingerprints are set to explode in popularity as they are being used to secure smart phones and to authorize payments in online stores. The main objective of this paper is to review the extensive research work that has been done over the past decade and discuss the various approaches proposed for fingerprint matching. The proposed methods were based on 2D correlation in the spatial and frequency domains, Artificial Neural Networks, Hough transform, Fourier transform, graphs, local texture, ridge geometry etc. All these different techniques have their pros and cons. This paper also provides the performance comparison of several existing methods proposed by researchers in fingerprint matching.
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Papers by Shoba Leslie