DocumentCode :
2300726
Title :
Integrating Palmprint and Fingerprint for Identity Verification
Author :
Chin, Yong Jian ; Ong, Thian Song ; Goh, Michael K.O. ; Hiew, Bee Yan
Author_Institution :
Fac. of Inf. Sci. & Technol. (FIST), Multimedia Univ., Ayer Keroh, Malaysia
fYear :
2009
fDate :
19-21 Oct. 2009
Firstpage :
437
Lastpage :
442
Abstract :
In this paper, we propose a multimodal biometrics system that combines fingerprint and palmprint features to overcome several limitations of unimodal biometrics-such as the inability to tolerate noise, distorted data and etc.-and thus able to improve the performance of biometrics for personal verification. The quality of fingerprint and palmprint images are first enhanced using a series of pre-processing techniques. Following, a bank of 2D Gabor filters is used to independently extract fingerprint and palmprint features, which are then concatenated into a single feature vector. We conclude that the proposed methodology has better performance and is more reliable compared to unimodal approaches using solely fingerprint or palmprint biometrics. This is supported by our experiments which are able to achieve equal error rate (EER) as low as 0.91% using the combined biometrics features.
Keywords :
Gabor filters; biometrics (access control); feature extraction; fingerprint identification; image enhancement; image fusion; 2D Gabor filter; feature extraction; fingerprint; identity verification; multimodal biometrics system; palmprint image enhancement; unimodal biometrics; Biometrics; Discrete wavelet transforms; Feature extraction; Fingerprint recognition; Fuses; Gabor filters; Geometry; Image matching; Low pass filters; Working environment noise; biometrics; fingerprint; fusion; multimodal; palm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and System Security, 2009. NSS '09. Third International Conference on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4244-5087-9
Electronic_ISBN :
978-0-7695-3838-9
Type :
conf
DOI :
10.1109/NSS.2009.25
Filename :
5319331
Link To Document :
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