Asymmetric Key Construction Based on Palmprint Hash Coding

To address two key challenges: the absence of high-precision hash algorithms in palmprint feature cryptography, and private key secure storage in asymmetric cryptography. This paper proposes an asymmetric key generation method based on palmprint hash coding. First, the method generates a variable-length palmprint hash template through a hash mapping network, and uses the Bose–Chaudhuri–Hocquenghem (BCH) error-correcting algorithm to achieve consistency recovery of each newly generated template. Then, it employs a Token to ensure key revocability, and combines with the Rivest-Shamir-Adleman (RSA) key generation algorithm to finally generate an asymmetric key strongly bound to the user’s palmprint. Experimental results show that the method not only ensures the stable generation of keys but also achieves an Equal Error Rate (EER) of 0% on two public palmprint datasets. Additionally, the generated private key requires no additional storage and can be repeatedly regenerated through the palmprint and related processes, balancing security and practicality.

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Publication Details

Journal
Journal of Multimedia Information System
Published
2025-12-31
DOI
https://doi.org/10.33851/jmis.2025.12.4.149
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Asymmetric Key Construction Based on Palmprint Hash Coding

Jiafeng Hu, Lu Leng, Zhengrong Liao
Journal of Multimedia Information System
Biometric Identification and Security
article

Asymmetric Key Construction Based on Palmprint Hash Coding

Jiafeng Hu, Lu Leng, Zhengrong Liao
article en

Abstract

To address two key challenges: the absence of high-precision hash algorithms in palmprint feature cryptography, and private key secure storage in asymmetric cryptography. This paper proposes an asymmetric key generation method based on palmprint hash coding. First, the method generates a variable-length palmprint hash template through a hash mapping network, and uses the Bose–Chaudhuri–Hocquenghem (BCH) error-correcting algorithm to achieve consistency recovery of each newly generated template. Then, it employs a Token to ensure key revocability, and combines with the Rivest-Shamir-Adleman (RSA) key generation algorithm to finally generate an asymmetric key strongly bound to the user’s palmprint. Experimental results show that the method not only ensures the stable generation of keys but also achieves an Equal Error Rate (EER) of 0% on two public palmprint datasets. Additionally, the generated private key requires no additional storage and can be repeatedly regenerated through the palmprint and related processes, balancing security and practicality.

Journal of Multimedia Information SystemVol. 12(4)
Nanchang Hangkong University, National Natural Science Foundation of China
Openalex Percentile: Top 33%
Biometric Identification and Security
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