Improved method of image segmentation and feature extraction for embedded fingerprint identification system

Author

Ranjan, Rajiv ; Raju, Kota Solomon ; Tanwar, Pramod K.

Author_Institution

Acad. of Sci. & Innovative Res. (AcSIR), New Delhi, India

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

An improved method of fingerprint image segmentation and feature extraction has been proposed for the efficient implementation of Automated Fingerprint Identification System (AFIS) on embedded platform. Fingerprint image is segmented based upon the local mean and local variance of the image to reduce the computation. Spatial domain Gabor filter is used for the image enhancement and features are extracted from thinned binary fingerprint image using the crossing number. Entire algorithm is implemented on ARM processor development platform with WindowsCE6.0 operating system.

Keywords

Gabor filters; embedded systems; feature extraction; fingerprint identification; image enhancement; image segmentation; AFIS; ARM processor development platform; WindowsCE6.0 operating system; automated fingerprint identification system; embedded fingerprint identification system; embedded platform; image enhancement; improved feature extraction method; improved fingerprint image segmentation method; local mean; local variance; spatial domain Gabor filter; thinned binary fingerprint image; Bifurcation; Feature extraction; Fingerprint; Ridge ending;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Electronic Systems (ICAES), 2013 International Conference on

Conference_Location

Pilani

Print_ISBN

978-1-4799-1439-5

Type

conf

DOI

10.1109/ICAES.2013.6659398

Filename

6659398