%0 Journal Article %1 noauthororeditor %A Dyre, Shoba %A Sumathi, C.P. %D 2016 %J International Journal of Computer Science & Engineering Survey (IJCSES) %K Correlation Fingerprint_Recognition Minutiae Pores Singular_points %N 4 %P 1-17 %R 10.5121/ijcses.2016.7401 %T A Survey on Various Approaches to Fingerprint Matching for Personal Verification and Identification %U http://airccse.org/journal/ijcses/current2016.html %V 7 %X 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.

@article{noauthororeditor, abstract = {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. }, added-at = {2019-09-23T11:37:50.000+0200}, author = {Dyre, Shoba and Sumathi, C.P.}, biburl = {https://www.bibsonomy.org/bibtex/2d8581d0beae6ccd420bef45e56e274ca/ijcses}, doi = {10.5121/ijcses.2016.7401}, interhash = {6cff6d2f3598767661150d7b884f9ced}, intrahash = {d8581d0beae6ccd420bef45e56e274ca}, journal = {International Journal of Computer Science & Engineering Survey (IJCSES)}, keywords = {Correlation Fingerprint_Recognition Minutiae Pores Singular_points}, language = {English}, month = {August}, number = 4, pages = {1-17}, timestamp = {2019-09-23T11:37:50.000+0200}, title = {A Survey on Various Approaches to Fingerprint Matching for Personal Verification and Identification}, url = {http://airccse.org/journal/ijcses/current2016.html}, volume = 7, year = 2016 }