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 :
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