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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Meraoumia, A., Chitroub, S., & Saigaa, M. (2009). Person’s recognition using palmprint based on 2D gabor filter response. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5807 LNCS, pp. 720–731). https://doi.org/10.1007/978-3-642-04697-1_67
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