DocumentCode :
3052906
Title :
An Efficient Vein Pattern-Based Recognition System
Author :
Soni, Mohit ; Gupta, Sandesh ; Rao, M.S. ; Gupta, Phalguni
Author_Institution :
DFS, Delhi, India
fYear :
2010
fDate :
18-25 July 2010
Firstpage :
234
Lastpage :
239
Abstract :
This paper presents an efficient human recognition system based on vein patterns from the palma dorsa. A new absorption-based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. Euclidean Distance based technique has been used to make a decision on matching. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the recognition system is found to be 99.26% with false rejection rate (FRR) of 0.03%.
Keywords :
biometrics (access control); blood vessels; feature extraction; image recognition; Euclidean distance; absorption based technique; false rejection rate; feature extraction; human recognition system; palma dorsa; vein pattern based recognition system; Cameras; Feature extraction; Image segmentation; Light sources; Pixel; Skin; Veins; minutiae; palma dorsa; recognition system; region of interest; ridge forkings; vein structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Information Systems and Technologies (SECURWARE), 2010 Fourth International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7517-9
Electronic_ISBN :
978-0-7695-4095-5
Type :
conf
DOI :
10.1109/SECURWARE.2010.45
Filename :
5633794
Link To Document :
بازگشت