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Vol. 161, Issue 12, December 2013, pp. 53-58

 

Bullet

 

A Novel Algorithm for Hand Vein Recognition Based on Wavelet Decomposition and Mean Absolute Deviation
 
1 Xueyou HU, 2 Liangang ZHANG, Fang CHEN, Huabin WANG

1 Department of Electronics and Electrical Engineering Hefei University, Hefei, 230039, China

2 School of Computer Science and Technology, Anhui University, Hefei, 230039, China

1 Tel.: 86-55162158569, fax: 86-55162158561
E-mail: xueyouhu@hfuu.edu.cn

 

Received: 22 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The contrast is low and the venous structure is simple for the hand vein image captured by near infrared camera. In order to extract the features of hand vein structure effectively, the wavelet decomposition sub-band image was analyzed. The low frequency sub-band image is better as hand vein recognition features. A feature extraction method by wavelet decomposition and mean absolute deviation is proposed in this paper. Then 48 dimensional feature vectors were formed. Finally, the Euclidean distance classification was used to do classify experiment. The results have shown that this method is not sensitive to shift, rotation and scaling in small range. The total recognition rate is 99.25 %, while the false acceptance error rate is 0.

 

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