Minutiae Extraction and Finger Print Image Recognition

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Fingerprint recognition is one of the most well-known and publicized biometrics. Because of finger print uniqueness and consistency over time, fingerprints have been used for identification for more than a century. Though Many systems with minutiae extractor and minutiae matcher are available for minutiae extraction and matching ,it is very difficult to mark all the minutiae accurately as well as rejecting false minutiae because of the presence of noise in fingerprints.. In practise, it is usually difficult to take a good quality fingerprint image, as these may be degraded and corrupted with noise due to many factors including variations in skin and impression conditions. This degradation can result in a significant number of spurious minutiae being created and genuine minutiae being ignored. Image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimate of minutiae locations. In recent years, some new methods have been introduced to the finger print image recognition system to recognize finger print images in order to get better results . In this paper, Finger Print Image recognition and a methods used for minutiae extraction and matching , pros and cons of this method are discussed.

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Keywords

Image Recognition , finger print, Minutiae, pixel features , Crossing number, Biometrics.