Building Palm Vein Capturing System for Extraction

Author

Wang, Jing-Wein ; Chen, Tzu-Hsiung

Author_Institution

Inst. of Photonics & Commun., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan

fYear

2011

Firstpage

311

Lastpage

314

Abstract

The palm vein pattern is unique to individuality which pattern does not change over time apart from size. This feature makes it suitable for one-to-many matching, for which fingerprint and face recognition may not be robust. In this paper, we set up a creatively vein-image capturing system and present a novel framework, composed of image enhancement, feature extraction, noise removal, thinning, skeletonization, and pruning for vein pattern extraction. In our experiments, 25 persons of different ages above 20 including five girls and twenty boys, each has 20 images per person was acquired at different intervals, 10 images for left hand and 10 images for right hand. The performance of the accurate extraction rate is 93.4% on average, 94.8% on right hand and 91.9% on left hand, respectively.

Keywords

biometrics (access control); blood vessels; feature extraction; image enhancement; image matching; image thinning; feature extraction; image enhancement; image pruning; image skeletonization; image thinning; noise removal; one-to-many matching; palm vein-image capturing system; vein pattern extraction; Biometrics; Feature extraction; Image edge detection; Image segmentation; Noise; Skin; Veins; Palm vein; accurate extraction rate; vein pattern extraction; veinimage capturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering (ICSEng), 2011 21st International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4577-1078-0

Type

conf

DOI

10.1109/ICSEng.2011.61

Filename

6041851