Title: A multimodal biometric approach for the recognition of finger print, palm print and hand vein using fuzzy vault

Authors: R. Vinothkanna; Amitabh Wahi

Addresses: Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh – 522502, India ' Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, India

Abstract: For the security reasons, person identification has got primary place by means of some of the physiological features. In this paper, multimodal biometry is utilised for the person identification with the help of three physiological features such as finger print, palm print and hand vein. Initially, in the pre-processing stage, the unwanted portions, noise content and the blur effects are removed from the input finger print, palm print and hand vein images. The features from these three modalities are extracted. The combined feature vector is obtained by chaff points and extracted features. After getting the combined feature vector points, the secret key points are added with the combined feature vector points to generate the fuzzy vault. Finally, in the recognition stage, test person's combined vector is compared with the fuzzy vault database. Now we can obtain the corresponding finger print, hand vein and palm print images.

Keywords: multimodal biometric; maximum curvature points; cross-sectional profile; chaff points; fuzzy vault.

DOI: 10.1504/IJBET.2020.107650

International Journal of Biomedical Engineering and Technology, 2020 Vol.33 No.1, pp.54 - 76

Received: 16 Aug 2016
Accepted: 07 Sep 2017
Published online: 04 Jun 2020 *

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