Scale Invariant Feature Transform Based Fingerprint Corepoint Detection

Defence Science Journal

Jaspreet Kour²  Abdul Quaiyum Ansari²  Kunal Goyal³  Rutvik R. Malekar³  Madasu Hanmandlu¹ 

[1] Indian Institute of Technology Delhi, New Delhi;Jamia Millia Islamia, New Delhi;Indian Institute of Technology Ropar, Ropar

关键词: Biometrics;    fingerprint;    corepoint;    scale invariant feature transform;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

The detection of singular points (core and delta) accurately and reliably is very important for classification and matching of fingerprints. This paper presents a new approach for core point detection based on scale invariant feature transform (SIFT). Firstly, SIFT points are extracted ,then reliability and ridge frequency criteria are applied to reduce the candidate points required to make a decision on the core point. Finally a suitable mask is applied to detect an accurate core point. Experiments on FVC2002 and FVC2004 databases show that our approach locates a unique reference point with high accuracy. Results of our approach are compared with those of the existing methods in terms of accuracy of core point detection. Defence Science Journal, 2013, 63(4), pp.402-407 , DOI:http://dx.doi.org/10.14429/dsj.63.2708

【 授权许可】

Unknown