Abstract
In the last few years, Content Based Image Retrieval (CBIR) system, where images are searched based on their visual contents instead of annotated texts, has drawn enormous attention of researchers because of its growing demand from real world applications. According to many, face recognition is one of the most potential applications of CBIR. In this paper, a content based face recognition process, where color, texture, and shape features are combined to enhance the retrieval accuracy of the system, is proposed.
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Sultana, M., Gavrilova, M. (2013). A Content Based Feature Combination Method for Face Recognition. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_19
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DOI: https://doi.org/10.1007/978-3-319-00969-8_19
Publisher Name: Springer, Heidelberg
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