Title :
A Novel Approach For Segmentation of Good, Normal and Bad Quality Fingerprint Image
Author :
Jambhorkar, S.S. ; Manza, R.R. ; Gornale, S.S. ; Kale, K.V.
Author_Institution :
Dept. of Comput. Sci., Sant Gadge Baba Amravati Univ.
Abstract :
A novel approach for segmentation of good, normal and bad quality fingerprint image is proposed in this paper. Which is different from traditional methods that usually use certain features to segment diversified image. This work is divided in three steps: firstly, we enhance the quality of image to remove great many false traces effectively and got a uniform background. Secondly, we have extracted the background of ridge area and finally; we segment the foreground from background. Our results shows that the proposed technique successfully segments the good, normal and bad quality fingerprint images and also enhance the quality of image. We have evaluated the performance of the segmented image through objective and subjective quality measures like mean, standard deviation and Fourier spectrum. We have tested this technique for 3200 images taken from database FVC2002. Our technique yields better results as compared to traditional segmentation techniques. The results that we have achieved are more useful in automatic fingerprint recognition system
Keywords :
feature extraction; fingerprint identification; image enhancement; image segmentation; database FVC2002; fingerprint recognition; image quality enhancement; image segmentation; performance evaluation; Background noise; Computer science; Feature extraction; Fingerprint recognition; Image matching; Image segmentation; Information technology; Measurement standards; Morphological operations; Morphology;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.344076