Hand vein recognition technology based on region code

Author

Sun Hongxing ; Wang Linlin ; Gao Chuang ; Wang Jiayi

Author_Institution

Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol., Anshan, China

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

1212

Lastpage

1215

Abstract

In the image preprocessing, by using the set theory of morphology, the global image of hand vein is extracted, and the denoising, smoothing, refinement and deburring of the image are carried out. A new feature extraction method is proposed called feature extraction based on region codes, and five types of feature values are obtained for feature matching. The recognition experiment is carried out based on sample library, and the reject rate is 2.13% and the error rate is 1.37%. Finally, the effectiveness of the algorithm is verified.

Keywords

feature extraction; image denoising; image matching; image restoration; set theory; smoothing methods; vein recognition; feature extraction method; feature matching; feature values; hand vein image extraction; hand vein recognition technology; image deblurring; image denoising; image preprocessing; image refinement; image smoothing; recognition experiment; region code; set theory of morphology; Computers; Educational institutions; Error analysis; Feature extraction; Image recognition; Security; Veins; Set theory; area code; five types of feature values; global image;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885251

Filename

6885251