Abstract
Palmprint recognition is very important in automatic personal identification. The objective of this study is to develop an efficient prototype system for an automatic personal identification using palmprint technology. In this work, a new texture feature based on Gabor filter is proposed. First, the region of interest was filtering by 2D Gabor filter, then, the principal lines, wrinkles, and ridges, are extracted using a simple thresholding of the complex magnitude of the filtred ROI, Latterly, the candidate was found by matching process. We have tested our algorithm scheme over several images taken from a palmprint database collected by hong kong polytechnic university. The testing results showed that the designed system achieves an acceptable level of performance.
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Meraoumia, A., Chitroub, S., Saigaa, M. (2009). Person’s Recognition Using Palmprint Based on 2D Gabor Filter Response. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_67
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DOI: https://doi.org/10.1007/978-3-642-04697-1_67
Publisher Name: Springer, Berlin, Heidelberg
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