Hand-based multimodal identification system with secure biometric template storage

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Hand-based multimodal identification system with secure biometric template storage

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This study proposes a biometric system for personal identification based on three biometric characteristics from the hand, namely: the palmprint, finger surfaces and hand geometry. A protection scheme is applied to the biometric template data to guarantee its revocability, security and diversity among different biometric systems. An error-correcting code (ECC), a cryptographic hash function (CHF) and a binarisation module are the core of the template protection scheme. Since the ECC and CHF operate on binary data, an additional feature binarisation step is required. This study proposes: (i) a novel identification architecture that uses hand geometry as a soft biometric to accelerate the identification process and ensure the system's scalability; and (ii) a new feature binarisation technique that guarantees that the Hamming distance between transformed binary features is proportional to the difference between their real values. The proposed system achieves promising recognition and speed performances on two publicly available hand image databases.

Inspec keywords: palmprint recognition; biometrics (access control); security of data; error correction codes

Other keywords: biometric template storage security; personal identification; binarisation module; palmprint identification; template protection scheme; identification architecture; error-correcting code; finger surface identification; cryptographic hash function; feature binarisation technique; hand geometry identification; biometric system; hand-based multimodal identification system; Hamming distance

Subjects: Codes; Computer vision and image processing techniques; Data security; Image recognition

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