Paper
13 April 2009 Enhancing the accuracy of a recognition system using two fused patterns of same classifier
Author Affiliations +
Abstract
Several approaches have been presented to enhance the recognition capabilities of certain patterns. This is particularly important in applications involve recognizing the identity of some individual accurately, especially in critical applications such as border entry, access to secured buildings, and in financial transactions, among other things. In this paper, we present an approach to improve the accuracy of a biometric recognition system using two fused patterns (two fingers) of same classifier (individual). In this method, two or more fingers of the same classifier are fused together to form a unique fingerprint pattern to be used in the recognition process. Techniques related to pattern and decision fusions are tested. In particular, the logical AND operator used in the decision fusion algorithm has resulted in a higher level of accuracy of recognition.
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Salim Alsharif and Aed El-Saba "Enhancing the accuracy of a recognition system using two fused patterns of same classifier", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400H (13 April 2009); https://doi.org/10.1117/12.819237
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KEYWORDS
Discrete wavelet transforms

Detection and tracking algorithms

Composites

Fingerprint recognition

Image processing

Binary data

Biometrics

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