DocumentCode
510310
Title
PDE-Based Finger Image Denoising
Author
Liu, Ming ; Li, Kunlun ; Zhang, Tianshu ; Yuan, Baozong ; Miao, Zhenjiang
Author_Institution
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Volume
3
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
540
Lastpage
543
Abstract
Finger image has attracted the interesting of researchers in biometrics recently, and the lines in it can be used for person recognition. In order to detect lines from the finger image, this paper proposes a new image denoising method. Firstly, the features of the lines in finger image are studied, and an effective edge detection algorithm is put forward. Then, the partial differentiation equations (PDE) for image denoising are defined based on the edge detection algorithm. Finally, the finite differences scheme for the PDEs is given and several experimental results are presented.
Keywords
biometrics (access control); finite difference methods; image denoising; partial differential equations; biometrics; edge detection algorithm; finger image denoising; finite differences; partial differentiation equations; Biometrics; Differential equations; Fingers; Finite difference methods; Image denoising; Image edge detection; Image processing; Image recognition; Image resolution; Noise reduction; Biometrics; Image denoising; Image processing; Partial differential equation;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.280
Filename
5376807
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