A secure fingerprint template generation mechanism using visual secret sharing with inverse halftoning |
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| Affiliation: | 1. Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, PR China;2. Department of Computer Science and Engineering, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, PR China;3. Business Intelligence and Visualization Research Center, National Engineering Laboratory for Big Data Distribution and Exchange Technologies, Shanghai, 200436, PR China;4. Shanghai Engineering Research Center of Big Data & Internet Audience, Shanghai, 200072, PR China;5. Innovation College North-Chiang Mai University, 169 Moo3, Nong Kaew, Hang Dong, Chiang Mai 50230 Thailand;6. International College of Digital Innovation, Chiang Mai University, Chiang Mai, 50200, Thailand;1. College of Information Engineering, Shanghai Maritime University, Shanghai 200135, China;2. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;3. School of Cyber Security, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Computer Networks, Jinan 250353, China;4. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin 541004, China |
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| Abstract: | Fingerprints are the most popular and widely practiced biometric trait for human recognition and authentication. Due to the wide approval, reliable fingerprint template generation and secure saving of the generated templates are highly vital. Since fingers are permanently connected to the human body, loss of fingerprint data is irreversible. Cancelable fingerprint templates are used to overcome this problem. This paper introduces a novel cancelable fingerprint template generation mechanism using Visual Secret Sharing (VSS), data embedding, inverse halftoning, and super-resolution. During the fingerprint template generation, VSS shares with some hidden information are formulated as the secure cancelable template. Before authentication, the secret fingerprint image is reconstructed back from the VSS shares. The experimental results show that the proposed cancelable templates are simple, secure, and fulfill all the properties of the ideal cancelable templates, such as security, accuracy, non-invertibility, diversity, and revocability. The experimental analysis shows that the reconstructed fingerprint images are similar to the original fingerprints in terms of visual parameters and matching error rates. |
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| Keywords: | Fingerprint template protection Visual secret sharing Minutiae Security Super-resolution Inverse halftoning |
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