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access icon free Multimodal biometric recognition using human ear and palmprint

  • Author(s): Nabil Hezil 1, 2  and  Abdelhani Boukrouche 1, 2
    • View affiliations
  • Source: Volume 6, Issue 5, September 2017, p. 351 – 359
    DOI:  10.1049/iet-bmt.2016.0072 , Print ISSN 2047-4938, Online ISSN 2047-4946
© The Institution of Engineering and Technology
Received 10/05/2016, Accepted 05/01/2017, Revised 30/11/2016, Published 10/01/2017

Combining multiple human trait features is a proven and effective strategy for biometric-based personal identification. In this study, the authors investigate the fusion of two biometric modalities, i.e. ear and palmprint, at feature-level. Ear and palmprint patterns are characterised by a rich and stable structure, which provides a large amount of information to discriminate individuals. Local texture descriptors, namely local binary patterns, weber local descriptor, and binarised statistical image features, were used to extract the discriminant features for robust human identification. The authors’ extensive experimental analysis based on the benchmark IIT Delhi-2 ear and IIT Delhi palmprint databases confirmed that the proposed multimodal biometric system is able to increase recognition rates compared with that produced by single-modal biometrics, attaining a recognition rate of 100%.

Inspec keywords: statistical analysis; palmprint recognition; image fusion; image texture; visual databases; feature extraction

Other keywords: local texture descriptors; multimodal biometric recognition; benchmark IIT Delhi-2 ear databases; biometric-based personal identification; robust human identification; binarised statistical image features; multiple human trait features; human ear recognition; palmprint patterns; discriminant feature extraction; human ear patterns; weber local descriptor; IIT Delhi palmprint databases; local binary patterns; palmprint recognition

Subjects: Other topics in statistics; Other topics in statistics; Image recognition; Computer vision and image processing techniques

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