Fingerprint identity authentication system has been widely used in access control, payment, public security and other fields. Existing systems typically store original fingerprint images or features in a database to identify or authenticate users’ identity. Fingerprint data in the database is at risk of being attacked or tampered with. In order to solve this problem, this paper proposes a fingerprint identification system based on editable blockchain. Firstly, we build a private chain environment, achieve multi-node cluster interconnection, and then calculate the fingerprint hash and store it in the blockchain. In order to facilitate the administrator to update the users in the fingerprint identification system, this paper uses the chameleon hash algorithm to calculate the hash of the constructed private chain block. The administrator who owns the chameleon hash private key can edit the information in the block body to implement deletion or modification of the user fingerprint data without changing the blockchain structure. Experiments show that the proposed system has good real-time performance and high accuracy of fingerprint recognition.
ZHU Yanyan, LI Sheng, FENG Guorui, ZHANG Xinpeng
. Fingerprint Recognition System Based on Editable Blockchain[J]. Journal of Applied Sciences, 2021
, 39(2)
: 330
-337
.
DOI: 10.3969/j.issn.0255-8297.2021.02.015
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