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An Improved Method for Segmentation of Fingerprint Images

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2 Author(s)
Rojas V, D.A. ; Fac. de Ingenieria Electronica y Electrica, Univ. Nacional Mayor de San Marcos, Lima ; Aching S, J.L.

In this work, an improved method for the pixel-wise segmentation technique is presented. Three features are extracted from each pixel and a linear classifier associates the pixel with the background or the foreground. Since this technique requires a trade-off between the accuracy of the classification and the computational effort, we propose a modified editing-condensing technique to select a reduced and representative reference set from the original training set. Also, because this is a linearly nonseparable classification problem, we propose the fuzzy perceptron learning method to obtain an optimal and robust lineal classifier. Experiments have shown that using the proposed method a reduced number of epochs and classification errors were obtained

Published in:

Electronics, Robotics and Automotive Mechanics Conference, 2006  (Volume:2 )

Date of Conference:

Sept. 2006