DocumentCode
2795557
Title
Singular point detection using Discrete Hodge Helmholtz Decomposition in fingerprint images
Author
Gao, Hengzhen ; Mandal, Mrinal K. ; Guo, Gencheng ; Wan, Jianwei
Author_Institution
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear
2010
fDate
14-19 March 2010
Firstpage
1094
Lastpage
1097
Abstract
Identification of singular points in the ridge structure is an important problem in fingerprint matching. This paper presents a fingerprint singular point detection method that is applicable to various fingerprint images regardless of their resolutions. Using the Discrete Hodge Helmholtz Decomposition (DHHD) method, potential structures of singular points can be extracted. We also calculate Poincare Index (PI) of the image. Then we combine DHHD and PI to detect singular points. The result of the experiment on the public databases with different images demonstrates that the proposed method has high accuracy in locating singular points.
Keywords
Helmholtz equations; Poincare mapping; fingerprint identification; image matching; object detection; Poincare index; discrete Hodge Helmholtz decomposition; fingerprint images; fingerprint matching; ridge structure; singular point detection; singular points identification; Algorithm design and analysis; Analysis of variance; Feature extraction; Fingerprint recognition; Gaussian processes; Image analysis; Image databases; Image matching; Image resolution; Shape; Discrete Hodge-Helmholtz decomposition; core point; delta point; fingerprint image;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495348
Filename
5495348
Link To Document