Automatic face naming using image processing: A review study based on face name detection in images or videos

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Abstract

Automatic character identification in images is essential for semantic image analysis such as indexing, summarization and retrieval. Face identification, however greatly characteristic to individuals, is an enormously troublesome errand in modernized vision. Structure is enthused about modified naming of people in different images or montage material with their character. A noteworthy testing issue due to the extensive assortment in intrapersonal appearance assortments in light of the fact that photometric variables, for instance, distinctive lighting tints, viewpoint point, and scale, or due to changes in expressions, or impediments, hairstyles, so appearances of each characters and the inadequacy vulnerability of available comment. The objective of this paper is to clarify the characteristics required in programmed face naming procedure and to review some of their recent studies.

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Baluni, P., Verma, S. K., & Raiwani, Y. P. (2017). Automatic face naming using image processing: A review study based on face name detection in images or videos. In Communications in Computer and Information Science (Vol. 721, pp. 357–368). Springer Verlag. https://doi.org/10.1007/978-981-10-5427-3_38

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