Abstract
There are described in this paper algorithms of extract the characteristic points in a face image with complex background. Presented algorithms combine known tasks of image processing and developed procedures. Novel peculiarity of the method, in comparision to the methods described in the existing literature, is using its own algorithms for edge detection of iris and eyelid edges. The methods for automatic face location, eyes, eye iris, corners of eyes, edges of the eyelids, corners of lip and external edges of lip location - were described and developed. The part of the work dealing with face recognition was based on the technique of automatic authentication of a person with assumption of the use of automatically extracted, structural characteristics of the leads for the biometrical authentication systems’ improvement. Achieved results are satisfactory for purpose of use in developed face recognition methods.
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Kubanek, M. (2010). Automatic Methods for Determining the Characteristic Points in Face Image. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_65
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DOI: https://doi.org/10.1007/978-3-642-13208-7_65
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