A hardware implementation for fingerprint retrieval

Yongwha Chung, Kichul Kim, Min Kim, Sungbum Pan, Neungsoo Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


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 finger-print 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.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Number of pages7
ISBN (Print)3540288961, 9783540288961
StatePublished - 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005


  • Fingerprint Retrieval
  • Real-Time Processing
  • Special-Purpose Hardware


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