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28 April 2010 Improving the recognition of fingerprint biometric system using enhanced image fusion
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Abstract
Fingerprints recognition systems have been widely used by financial institutions, law enforcement, border control, visa issuing, just to mention few. Biometric identifiers can be counterfeited, but considered more reliable and secure compared to traditional ID cards or personal passwords methods. Fingerprint pattern fusion improves the performance of a fingerprint recognition system in terms of accuracy and security. This paper presents digital enhancement and fusion approaches that improve the biometric of the fingerprint recognition system. It is a two-step approach. In the first step raw fingerprint images are enhanced using high-frequency-emphasis filtering (HFEF). The second step is a simple linear fusion process between the raw images and the HFEF ones. It is shown that the proposed approach increases the verification and identification of the fingerprint biometric recognition system, where any improvement is justified using the correlation performance metrics of the matching algorithm.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Salim Alsharif, Aed El-Saba, and Reshma Stripathi "Improving the recognition of fingerprint biometric system using enhanced image fusion", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 77080D (28 April 2010); https://doi.org/10.1117/12.853061
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