Conference Paper

Design of an Embedded Fingerprint Matcher System

Electron., Electr. & Autom. Eng. Dept., Univ. Rovira i Virgili, Tarragona
DOI: 10.1109/ISCE.2006.1689467 Conference: Consumer Electronics, 2006. ISCE '06. 2006 IEEE Tenth International Symposium on
Source: IEEE Xplore


The current technological age is demanding reliable and cost-effective personal authentication systems for a wide range of daily use applications such as access control, electronic commerce, ID verification... where security and confidentiality performance of the information is needed. Biometrics-based authentication techniques (e.g. face, iris, fingerprint recognition...) in conjunction with embedded systems technologies bring a challenging solution to this need. This paper describes the hardware-software co-design of a computational platform responsible for matching two fingerprint minutiae sets. A novel system concept is suggested by making use of reconfigurable architectures

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    • "Those companion chips speed up the execution of those critical parts or timeconsuming tasks of the processing [7] [8]. (d) And one latest solution, mainly used in the academia by research communities, is based on the replacement of those nonflexible hardware coprocessors (ASICs, ASSPs) by programmable logic devices such as FPGAs (Field Programmable Gate Arrays) or CPLDs (Complex Programmable Logic Devices) [9] [10] [11]. "
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    ABSTRACT: Nowadays the development of automatic biometrics-based personal recognition systems is a reality in the current technological age. Not only those applications demanding stringent security levels but also many daily use consumer applications request the existence of high performance computational platforms in charge of recognizing the identity of an individual based on the analysis of his/her physiological or behavioural characteristics. The state of the art points out two main open problems in the implementation of such automatic applications: on the one hand, the needed improvement of the reliability level of the existing recognition systems in terms of accuracy, security and real-time performances; on the other hand, the cost reduction of those physical platforms in charge of the processing.
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    • "To execute the biometric systems in realtime , some tasks of the biometric algorithms that demand a high computational power can be implemented into FPGA. These tasks can be dynamically synthesized on the FPGA to speed up the biometric algorithms [6]. The biometric algorithms contain the face, iris, and fingerprint authentication modules and can be running on the hardware platform with or without the FPGA module. "
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    ABSTRACT: This research examines whether the integration of facial and fingerprint biometrics can improve the performance in financial infrastructure security such as ATM protection. Fingerprint biometrics consider distorted and misaligned fingerprints caused by environmental noise such as oil, wrinkles, dry skin, dirt and displacement of the query fingerprint with the database fingerprint template during matching. The noisy, distorted and/or misaligned fingerprint produced as a 2-D on x-y image, is enhanced and optimized using a new hybrid Modified Gabor Filter-Hierarchal Structure Check (MGF-HSC) system model based on an MGF integrated with an HSC. However, in order to improve the accuracy of financial infrastructure, face biometrics are introduced using a fast principal component analysis algorithm, in which different face conditions such as lighting, blurriness, pose, head orientation and other conditions are addressed. The MGF-HSC approach minimizes false fingerprint matching and the dominant effect of distortion and misalignment of fingerprints to an acceptable level. The proposed bimodal biometrics increase the accuracy of the False Rejection Rate (FRR) to 98% when the False Acceptance Rate (FAR) is 0.1% in an experiment conducted with 1000 test cases. This result shows that facial biometrics can be used to support fingerprint biometrics for improving financial security based on with significant improvement in both FRR and FAR.
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