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Proceedings Paper

Data fusion-based design for automated fingerprint identification systems (AFIS)
Author(s): James G. Reisman; Stelios C.A. Thomopoulos
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Paper Abstract

This paper presents a data fusion-based approach to designing an Automated Fingerprint Identification System (AFIS). Fingerprint matching methods vary from pattern matching, using ridge structure, orientation, or even the entire fingerprint itself, to point critical matching, using localized features such as ridge discontinuities, e.g. minutiae, or porous structures. Localized matching methods, such as minutiae, tend to yield more compact templates, in general, than pattern based methods. However, the reliability of localized features may be an issue, since they are affected adversely by the quality of the captured fingerprint, i.e. the degree of noise. Minutiae-based matching methods tend to be slower, albeit more accurate, than pattern-based methods. The trade-off in designing a cost-effective AFIS in terms of processing power (CPU) used, matching speed, and accuracy, lies in the choice of the proper matching methods that are selected to optimize performance by maximizing the matching accuracy while minimizing the search time. In this paper we present a systematic design and study of a fusion-based AFIS using a multiplicity of matching methods to optimize system performance and minimize required CPU cost.

Paper Details

Date Published: 17 July 1998
PDF: 12 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327106
Show Author Affiliations
James G. Reisman, INTELNET Inc. (United States)
Stelios C.A. Thomopoulos, INTELNET Inc. (Greece)


Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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