Fingerprint Classification Techniques: A Review
A biometric is the automatic identification of an individual that is based on physiological or behavioral characteristics. Due to its security-related applications and the current world political climate, biometric is currently the subject of intense research by both private and academic institutions. Fingerprint is emerging as the most common and trusted biometric for personal identification. The main objective of this paper is to review the extensive researches that have been done on fingerprint classification over the last four decades. In particular, it discusses the fingerprint features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied to the problem
Keywords: fingerprint classification, singular point detection, segmentation, Biometric, orientation Field Estimation,
Download Full-Text
ABOUT THE AUTHORS
Alaa Ahmed Abbood
BS.c. in computer science from mustansiry university Baghdad-Iraq. Ms.c in computer science from Jamia Hamdard, new delhi, India. currently PhD Candidate in image processing dept. universiti teknologi Malaysia
Ghazali Sulong
full prof in faculty of computing universiti teknologi Malaysia
Alaa Ahmed Abbood
BS.c. in computer science from mustansiry university Baghdad-Iraq. Ms.c in computer science from Jamia Hamdard, new delhi, India. currently PhD Candidate in image processing dept. universiti teknologi Malaysia
Ghazali Sulong
full prof in faculty of computing universiti teknologi Malaysia
