A hardware implementation for fingerprint retrieval

Authors:
Yongwha Chung;Kichul Kim;Min Kim;Sungbum Pan;Neungsoo Park
Affiliations:
Korea University, Korea;University of Seoul, Korea;University of Seoul, Korea;Chosun University, Korea;Konkuk University, Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 4
Cited 1

Scalable data parallel implementations of object recognition using geometric hashing

Journal of Parallel and Distributed Computing - Special issue on data parallel algorithms and programming
A Real-Time Matching System for Large Fingerprint Databases

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Hashing: An Overview

IEEE Computational Science & Engineering
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition

ISO/IEC standards for on-card biometric comparison

International Journal of Biometrics

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Abstract

Recently, fingerprint has been received considerable attentions as a user authentication technique using biometrics. Fingerprint retrieval, which retrieves a candidate list of fingerprints having similar features with the given fingerprint from a fingerprint database, is one of interesting real-time applications. However, using the straightforward approach, it takes a long response time to scan the entire database and to compare the query against each reference on a large-scale database. Even when implemented on a hardware, it is hard to satisfy the real-time requirement. In this paper, to reduce the response time, we employ the geometric hashing technique which has been widely used for model-based object recognition. Using this algorithm, the number of fingerprint minutiae can be restricted. It limits the hardware size used for implementation to fit into FPGA-chips. Furthermore, we develop a scalable implementation for parallel geometric hashing on an FPGA-based PCI platform.