Improved fingerprint image segmentation using new modified gradient based technique

Author

Akram, M. Usman ; Nasir, Sarwat ; Tariq, Anam ; Zafar, Irfan ; Khan, Wasim Siddique

Author_Institution

Dept. of Comput. Eng., Nat. Univ. of Sci.&Technol., Rawalpindi

fYear

2008

fDate

4-7 May 2008

Abstract

An important step in fingerprint recognition is the segmentation of the region of interest (ROI). The objective of fingerprint segmentation is to extract the region of interest (ROI) which contains the desired fingerprint impression. Fingerprint image segmentation highly influences the performances of automatic fingerprint identification system (AFIS). We present in this paper, a Modified Gradient Based Method to extract ROI. The distinct feature of our technique is that it gives high accurate segmentation percentage for fingerprint images even in case of low quality fingerprint images. The proposed algorithm is applied on FVC2004 database. Experimental results demonstrate the improved performance of the proposed scheme.

Keywords

feature extraction; fingerprint identification; gradient methods; image segmentation; FVC2004 database; automatic fingerprint identification system; feature extraction; fingerprint image segmentation; fingerprint impression; fingerprint recognition; fingerprint segmentation; modified gradient based technique; region of interest; Classification algorithms; Educational institutions; Feature extraction; Fingerprint recognition; Histograms; Image databases; Image matching; Image segmentation; Mechanical engineering; Spatial databases; Coherence; Gradient; Mean; Region of Interest; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on

Conference_Location

Niagara Falls, ON

ISSN

0840-7789

Print_ISBN

978-1-4244-1642-4

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2008.4564888

Filename

4564888