Integrating palmprint and fingerprint for identity verification


Chin, Yong Jian and Ong, Thian Song and Goh, Michael Kah Ong and Hiew, Bee Yan (2009) Integrating palmprint and fingerprint for identity verification. In: 2009 Third International Conference on Network and System Security. IEEE Xplore, pp. 437-442. ISBN 978-1-4244-5087-9

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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.

Item Type: Book Section
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 22 Jan 2014 04:36
Last Modified: 08 Dec 2022 05:28


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