On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems

Mitchell Welch; Paul H Kwan; Abudulkadir Sajeev

doi:10.1109/CISE.2010.5676959

On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems

Mitchell Welch
, Paul H Kwan
, Abudulkadir Sajeev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Effective fingerprint identification is critical in crime detection and many security related operations. This article investigates the use of Relevance Feedback with automatic fingerprint identification systems. It also summarises how several unique engineering challenges faced when applying relevance feedback are being addressed. Relevance feedback is a process for acquiring and using knowledge from a human user to improve the quality of results from an information retrieval system. It has been applied extensively to both text-based and images-based information retrieval systems, but not to fingerprint identification systems. Compared to automatic processes, relevance feedback has the potential to assist in faster convergence towards correct fingerprint identification and removes the reliance on black box fingerprint matching algorithm for the system's performance. Experimental results collected from a prototype software implementation confirm that relevance feedback can improve the quality of fingerprint identification queries significantly.

Original language	English
Title of host publication	Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE)
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
ISBN (Print)	9781424453924
DOIs	https://doi.org/10.1109/CISE.2010.5676959
Publication status	Published - 2010
Event	CiSE 2010: International Conference on Computational Intelligence and Software Engineering - Wuhan, China Duration: 10 Dec 2010 → 12 Dec 2010

Conference

Conference	CiSE 2010: International Conference on Computational Intelligence and Software Engineering
City	Wuhan, China
Period	10/12/10 → 12/12/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Pattern Recognition and Data Mining
Image Processing

Access to Document

10.1109/CISE.2010.5676959

https://hdl.handle.net/1959.11/7949

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Cite this

Welch, Mitchell ; Kwan, Paul H ; Sajeev, Abudulkadir. / On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems. Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). Los Alamitos, United States of America : Institute of Electrical and Electronics Engineers (IEEE), 2010. pp. 1-5

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abstract = "Effective fingerprint identification is critical in crime detection and many security related operations. This article investigates the use of Relevance Feedback with automatic fingerprint identification systems. It also summarises how several unique engineering challenges faced when applying relevance feedback are being addressed. Relevance feedback is a process for acquiring and using knowledge from a human user to improve the quality of results from an information retrieval system. It has been applied extensively to both text-based and images-based information retrieval systems, but not to fingerprint identification systems. Compared to automatic processes, relevance feedback has the potential to assist in faster convergence towards correct fingerprint identification and removes the reliance on black box fingerprint matching algorithm for the system's performance. Experimental results collected from a prototype software implementation confirm that relevance feedback can improve the quality of fingerprint identification queries significantly.",

keywords = "Pattern Recognition and Data Mining, Image Processing",

author = "Mitchell Welch and Kwan, \{Paul H\} and Abudulkadir Sajeev",

year = "2010",

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booktitle = "Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Welch, M, Kwan, PH & Sajeev, A 2010, On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems. in Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 1-5, CiSE 2010: International Conference on Computational Intelligence and Software Engineering, Wuhan, China, 10/12/10. https://doi.org/10.1109/CISE.2010.5676959

On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems. / Welch, Mitchell; Kwan, Paul H; Sajeev, Abudulkadir.
Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Effective fingerprint identification is critical in crime detection and many security related operations. This article investigates the use of Relevance Feedback with automatic fingerprint identification systems. It also summarises how several unique engineering challenges faced when applying relevance feedback are being addressed. Relevance feedback is a process for acquiring and using knowledge from a human user to improve the quality of results from an information retrieval system. It has been applied extensively to both text-based and images-based information retrieval systems, but not to fingerprint identification systems. Compared to automatic processes, relevance feedback has the potential to assist in faster convergence towards correct fingerprint identification and removes the reliance on black box fingerprint matching algorithm for the system's performance. Experimental results collected from a prototype software implementation confirm that relevance feedback can improve the quality of fingerprint identification queries significantly.

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Welch M, Kwan PH, Sajeev A. On Engineering Challenges of Applying Relevance Feedback to Fingerprint Identification Systems. In Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE). 2010. p. 1-5 doi: 10.1109/CISE.2010.5676959