tailieunhanh - Báo cáo hóa học: " Research Article Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 60590 11 pages doi 2007 60590 Research Article Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification Sadegh Helfroush and Hassan Ghassemian Department of Electrical Engineering Tarbiat Modares University . Box 14115-111 Tehran 1411713116 Iran Received 19 April 2006 Revised 20 September 2006 Accepted 20 September 2006 Recommended by Mark Liao Most of the proposed methods used for fingerprint verification are based on local visible features called minutiae. However due to problems for extracting minutiae from low-quality fingerprint images other discriminatory information has been considered. In this paper the idea of decision-level fusion of orientation texture and spectral features of fingerprint image is proposed. At first a value is assigned to the similarity of block orientation field of two-fingerprint images. This is also performed for texture and spectral features. Each one ofthe proposed similarity measure does not need core-point existence and detection. Rotation and translation of two fingerprint images are also taken into account in each method and all points of fingerprint image are employed in feature extraction. Then the similarity of each feature is normalized and used for decision-level fusion of fingerprint information. The experimental results on FVC2000 database demonstrate the effectiveness of the proposed fusion method and its significant accuracy. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Lots of efforts have been made on fingerprint verification. Most of them have focused on extracting and matching local visible features of fingerprint image called minutiae 1-3 . Fingerprint preparation for minutiae extraction needs several complex steps 4 5 . These time-consuming steps are fingerprint enhancement directional filtering segmentation and thinning. They may erroneously introduce