A User-Centered Framework for Adaptive Fingerprint Identification

Paul Kwan, Junbin Gao, Graham Leedham

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)
6 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationPAISI09-PAKDD09
Subtitle of host publicationPacific Asia Workshop on Intelligence and Security Informatics
EditorsH. Chen
Place of PublicationBerlin
PublisherSpringer
Pages89-100
Number of pages12
Volume5477/2009
DOIs
Publication statusPublished - 2009
EventPacific Asia Workshop on Intelligence and Security Informatics (PAISI) joint with Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - Bangkok, Thailand
Duration: 27 Apr 200928 Apr 2009

Conference

ConferencePacific Asia Workshop on Intelligence and Security Informatics (PAISI) joint with Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
CountryThailand
Period27/04/0928/04/09

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