Abstract
In this paper two methods of human vein pattern segmentation from low quality images, called frequency high-pass filtration and local minima analysis, proposed by authors in their previous article are compared with the often used local thresholding algorithm. These methods are evaluated using results of classification performed by a correlation algorithm. Evaluation was carried out on 400 collected images, and shows that proposed methods are worth to consider in human vein pattern segmentation.
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Kabaciński, R., Kowalski, M. (2011). Human Vein Pattern Correlation - A Comparison of Segmentation Methods. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_6
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DOI: https://doi.org/10.1007/978-3-642-20320-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20319-0
Online ISBN: 978-3-642-20320-6
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