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Title: A User-Centered Framework for Adaptive Fingerprint Identification
Contributor(s): Kwan, Paul W H  (author); Gao, Junbin (author); Leedham, Graham  (author)
Publication Date: 2009
DOI: 10.1007/978-3-642-01393-5_10
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Abstract: In recent years, law enforcement personnel have been greatly aided by the deployment of automated fingerprint identification systems (AFIS). These "black-box" systems largely operate by matching distinctive features automatically extracted from fingerprint images for their decisions. However, current systems have two major shortcomings. First, the identification result depends solely on the chosen features and the algorithm that matches them. Second, these systems cannot improve their results by benefiting from interactions with expert examiners who often can identify small differences between fingerprints. In this paper, we demonstrate by incorporating Relevance Feedback in a fingerprint identification system as an add-on module, a persistent semantic space over the database of fingerprints for an expert user can be incrementally learned. Here, the learning module makes use of a Dimensionality Reduction process that returns both a low-dimensional semantic space and an out-of-sample mapping function, achieving a two-fold benefits of data compression and the ability to project novel fingerprints directly onto the semantic space for identification. Experimental results demonstrated the potential of this user-centered framework for adaptive fingerprint identification.
Publication Type: Conference Publication
Source of Publication: Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2009 Bangkok, Thailand, April 27, 2009 Proceedings, p. 89-100
Publisher: Springer-Verlag
Place of Publication: Berlin/Heidelburg, Germany
ISBN: 9783642013935
Field of Research (FOR): 080108 Neural, Evolutionary and Fuzzy Computation
080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO): 890202 Application Tools and System Utilities
HERDC Category Description: B1 Chapter in a Scholarly Book
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Series Name: Lecture Notes in Computer Science
Series Number : 5477
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Editor: Editor(s): Chen Hsinchun, Christopher C Yang, Michael Chau and L Shu-Hsing
Appears in Collections:Book Chapter
School of Science and Technology

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