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Multimodal Technique for Human Authentication Using Fusion of Palm and Dorsal Hand Veins

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New Approaches for Multidimensional Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 270))

Abstract

Multimodal biometric systems have been widely used to achieve high recognition accuracy. This paper presents a new multimodal biometric system using an intelligent technique to authenticate human by fusion of palm and dorsal hand veins pattern. We developed an image analysis technique to extract region of interest (ROI) from palm and dorsal hand veins image. After extracting ROI we design a sequence of preprocessing steps to improve palm and dorsal hand veins images using Homomorphic, Median filter, Wiener filter and Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance vein image. Our smart technique is based on the following intelligent algorithms, namely; principal component analysis (PCA) algorithm for feature extraction and k-Nearest Neighbors (K-NN) classifier for matching operation. The database chosen was the CASIA Multi-Spectral Palmprint Image Database V1.0 and Bosphorus Hand Vein Database. The achieved result for the fusion of both biometric traits was Correct Recognition Rate (CRR) is 97.6% with FAlse Reject Rate (FRR) 2.4%.

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Author information

Authors and Affiliations

  1. Faculty of Computer and Information Sciences, Computer Science Department, Ain Shams University, Cairo, Egypt

    Mona A. Ahmed & Abdel-Badeeh M. Salem

  2. Faculty of Computer and Information Technology, Computer Science Department, Future University, New Cairo, Egypt

    Mohamed Roushdy

Authors
  1. Mona A. Ahmed
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  2. Mohamed Roushdy
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  3. Abdel-Badeeh M. Salem
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Editor information

Editors and Affiliations

  1. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  2. Technical University of Sofia, Sofia, Bulgaria

    Rumen Mironov

  3. University of Hyogo, Kobe, Japan

    Kazumi Nakamatsu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ahmed, M.A., Roushdy, M., Salem, AB.M. (2022). Multimodal Technique for Human Authentication Using Fusion of Palm and Dorsal Hand Veins. In: Kountchev, R., Mironov, R., Nakamatsu, K. (eds) New Approaches for Multidimensional Signal Processing. Smart Innovation, Systems and Technologies, vol 270. Springer, Singapore. https://doi.org/10.1007/978-981-16-8558-3_4

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  • DOI: https://doi.org/10.1007/978-981-16-8558-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8557-6

  • Online ISBN: 978-981-16-8558-3

  • eBook Packages: EngineeringEngineering (R0)

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