Abstract
In the article we propose the automatic method of symmetry-based salient points detection in face images. The proposed method is based on the modified Discrete Symmetry Transform. Firstly, multiresolution Gabor Wavelets filtration is performed. Secondly, DST is used in order to detect symmetry-based salient points in face images. Then, having automatically extracted a number of salient points, further processing including feature extraction for various applications is performed. Finally, on the basis of the extracted feature vectors, face recognition in a biometrics system can be performed.
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Choraś, M., Andrysiak, T. (2006). Symmetry-Based Salient Points Detection in Face Images. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_79
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DOI: https://doi.org/10.1007/11785231_79
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