Abstract
Face recognition from an arbitrary image has been a standout amongst the most considered topic in image processing and computer vision. The human face is a convoluted multidimensional visual model and henceforth it is exceptionally hard to build up a computational model to recognize the face. This paper presents an approach depending on the attributes extracted from the image to identify the human face. The proposed approach combines both morphological image processing techniques and cascade object detector capabilities. This method is effective in face detection for arbitrary images.
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Rishikeshan, C.A., Rajesh Kumar Reddy, C., Nandimandalam, M.K.V. (2021). An Improved Approach for Face Detection. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_76
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DOI: https://doi.org/10.1007/978-981-15-7234-0_76
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