IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Fingerprint Essential Sharing and Matching in Mobile Application
Mao-Hsiu HsuShang-Kuan Chen
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論文ID: 2025SMP0004

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In this study, a novel image sharing technique is proposed to enhance the confidentiality and integrity of data transmission between fingerprint sensors and processors. The technique employs a specialized encryption and decryption mechanism applied to the fingerprint images, thereby ensuring secure communication over SPI or USB channels. Importantly, the proposed method preserves the performance and compatibility of fingerprint recognition, authentication, and embedded cryptosystems. An efficient and accurate encryption-decryption framework has been developed, incorporating both essential and nonessential methods. Unlike conventional approaches, which continue to exhibit security vulnerabilities in the transmission of sensor images to the CPU, the proposed scheme addresses these deficiencies directly. The effectiveness of the method has been rigorously evaluated through comprehensive experiments assessing accuracy, robustness, and reliability, including comparative analyses using good-to-gray images.

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© 2025 The Institute of Electronics, Information and Communication Engineers
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