Volume 10, Issue 1, October 2014, Pages 64–70
Gurpreet Singh1 and Vinod Kumar2
1 CSE Department, Guru Kashi University, Talwandi Sabo, Punjab, India
2 AP, CSE Department, Guru Kashi University, Talwandi Sabo, Punjab, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The recent advancement in fingerprint identification and authentication have encouraged many people to conduct researches in Fingerprint Identification and Authentication (AFIA) as fingerprint identification is becoming a new domain for user authentication. Fingerprint classification plays an important role in large organizations where fingerprint identification systems are deployed. Fingerprint identification is very helpful in authentication when two fingerprints do not match and also it reduces the time used for identification. This paper presents a thorough review on the existing classification approaches that have applied to fingerprint recognition problems. The explanation in this paper covers the various evaluation parameters used by AFIS classification approaches.
Author Keywords: Fingerprint Recognition, Biometrics, Classification Approaches, Evaluation.
Gurpreet Singh1 and Vinod Kumar2
1 CSE Department, Guru Kashi University, Talwandi Sabo, Punjab, India
2 AP, CSE Department, Guru Kashi University, Talwandi Sabo, Punjab, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The recent advancement in fingerprint identification and authentication have encouraged many people to conduct researches in Fingerprint Identification and Authentication (AFIA) as fingerprint identification is becoming a new domain for user authentication. Fingerprint classification plays an important role in large organizations where fingerprint identification systems are deployed. Fingerprint identification is very helpful in authentication when two fingerprints do not match and also it reduces the time used for identification. This paper presents a thorough review on the existing classification approaches that have applied to fingerprint recognition problems. The explanation in this paper covers the various evaluation parameters used by AFIS classification approaches.
Author Keywords: Fingerprint Recognition, Biometrics, Classification Approaches, Evaluation.
How to Cite this Article
Gurpreet Singh and Vinod Kumar, “Review On Fingerprint Recognition: Minutiae Extraction and Matching Technique,” International Journal of Innovation and Scientific Research, vol. 10, no. 1, pp. 64–70, October 2014.
