Abstract
The solution of the face detection problem and image classification has important practical significance and research interest. For the successful operation of face detection systems and image classification algorithms are needed to ensure high speed and accuracy of detection. In systems of automatic face recognition and image classification, an important and complex task is to localize them, due to variations in scale, posture, dimming, lighting, facial expressions and background reflections. Despite the existing methods of solving this problem, the task of improving localization remains extremely urgent. The article explores and analyses modern methods of face detection and image classification. A face recognition software system has been developed.
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Boranbayev, A., Boranbayev, S., Nurusheva, A. (2019). Analyzing Methods of Recognition, Classification and Development of a Software System. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_53
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