An optimized fingerprint matcher

Author

Chakraborty, Shuvra

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh

fYear

2011

Firstpage

181

Lastpage

185

Abstract

This paper presents a fingerprint matching system which uses eight directional Gabor filter bank, a popular method for enhancing poor quality image, to capture global and local information available in the fingerprints. A new region of interest has been experimented for feature vector compaction. Here, feature vectors are extracted from the directional representation of enhanced image. Matching is extremely fast as it computes only Euclidian difference between feature vectors to compute matching score. Feature vector requires least memory as compared to traditional minutiae based approach as it stores only 64 intensity values. This filter-bank approach has been tested on 800 images of DB1_a of FVC 2002 and 77.125% images are accepted correctly.

Keywords

Gabor filters; channel bank filters; feature extraction; fingerprint identification; image matching; Gabor filter bank; feature extraction; feature vector compaction; fingerprint matching system; optimized fingerprint matcher; Accuracy; Feature extraction; Filter banks; Fingerprint recognition; Gabor filters; Image matching; Information systems; Filters; Fingerprint recognition; Image matching; Indexing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on

Conference_Location

Kandy

Print_ISBN

978-1-4577-0032-3

Type

conf

DOI

10.1109/ICIINFS.2011.6038063

Filename

6038063