DocumentCode
3062927
Title
Different methods for fingerprint image orientation estimation
Author
Popovic, Branislav M. ; Bandur, Milos V. ; Raicevic, Andelija M. ; Randelovic, Dragan
Author_Institution
Acad. of Criminalistic & Police Studies, Belgrade, Serbia
fYear
2012
fDate
20-22 Nov. 2012
Firstpage
662
Lastpage
665
Abstract
Orientation field as a global feature of fingerprints is very important in automatic fingerprint identification systems (AFIS). In fact the overall performance of fingerprint recognition process largely depends on it´s accurate estimation. The subject of this paper is to present different methods for fingerprint image orientation estimation, including novel one based on multiscale approach.
Keywords
estimation theory; fingerprint identification; AFIS; automatic fingerprint identification system; fingerprint global feature; fingerprint image orientation estimation; fingerprint recognition; multiscale approach; orientation field; Estimation; Fingerprint recognition; Image matching; Information filters; Principal component analysis; Vectors; PCA; fingerprint image; gradient; orientation field; pyramid decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Forum (TELFOR), 2012 20th
Conference_Location
Belgrade
Print_ISBN
978-1-4673-2983-5
Type
conf
DOI
10.1109/TELFOR.2012.6419297
Filename
6419297
Link To Document