Title :
A Novel Palmprint Segmentation and Recognition Algorithm
Author :
Qichuan, Tian ; Ziliang, Li ; Yanchun, Zhu
Author_Institution :
Sch. of Electron. Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
According to palmprint region segmentation problem, a novel five-point segmentation algorithm is proposed in this paper. Firstly, the maximum inscribed circle should be located in palm image by using fast method based on affine transformation, and three junctions of finger and finger can be located in polar coordinates, and then the two tangential points can be gotten by using the method of polar coordinates transformation. Finally, palmprint segmentation can be realized based on these points. The experiment results show that the algorithm is accurate and effective. After achieving the effective region, palmprint pattern´s classification experiments are done, and the results show that the recognition algorithm is effective.
Keywords :
affine transforms; biometrics (access control); image recognition; image segmentation; five-point segmentation algorithm; maximum inscribed circle; palm image; palmprint pattern classification; palmprint recognition algorithm; palmprint segmentation algorithm; polar coordinates; polar coordinates transformation; tangential points; Automation; Biometrics; Calibration; Fingers; Image edge detection; Image recognition; Image segmentation; Materials science and technology; Pattern classification; Pattern recognition; Affine Transformation; Angular Calibration; Hit or Miss Transform; Maximum Inscribed Circle; Palmprint Recognition;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.652