Paper Info
Title
A systematic gradient-based method for the computation of fingerprint's orientation field
Abstract
Orientation field which describes the local direction of ridge-valley pattern, play a very important role in automatic fingerprint recognition. In this paper, a systematic gradient-based method for the computation of fingerprint's orientation field is proposed. This method mainly includes two procedures: the coarse level orientation computing, and the orientation predicting. In the first procedure, the effective point gradient vector and the composite block are proposed for overcoming the limitation caused by normalization, and the contradiction between accuracy and robustness respectively; in the second procedure, an iteration based predicting method is adopted for improving the robustness against noise. All experiments show that: compared with the previously proposed gradient-based approaches, our method does not only possess the advantage of high accuracy, but also be more robust against noise and be capable of predicting.
Year
DOI
Venue
2012
10.1016/j.compeleceng.2011.10.011
Computers & Electrical Engineering
Keywords
Field
DocType
effective point gradient vector,important role,local direction,composite block,automatic fingerprint recognition,gradient-based approach,coarse level orientation computing,orientation field,high accuracy,systematic gradient-based method
Computer vision,Normalization (statistics),Pattern recognition,Fingerprint recognition,Computer science,Fingerprint,Robustness (computer science),Real-time computing,Artificial intelligence,Computation
Journal
Volume
Issue
ISSN
38
5
0045-7906
Citations 
PageRank 
References 
10
0.48
15
Authors
4
Name
Order
Citations
PageRank
Yuan Mei1261.44
Guo Cao2226.22
Huaijiang Sun320226.12
Hou Rongtao4100.82