Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2008.4564888
