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
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;
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
DOI :
10.1109/AICI.2009.280