Ashok Panwar, Savita Bairagi, , Hemant Gupta, Bhavana Panwar


Face recognition is one of the classical domains of research and development. Significant contributions on face recognition technique are available in literature. There are various kinds of techniques and methodologies which can be divided in two major categories i.e. feature classification based approach and reconstruction based approaches. In this paper, we are first providing the survey on existing efficient and recent techniques of face recognition. Additionally on the basis of concluded consequences a new model for recognizing the partial face. In this context a new model using LDA based features and BPN (back propagation neural network) based is introduced. Additionally their functional aspects are discussed. Finally the conclusion and future working guidelines are provided.          


face recognition, partial faces, neural network, LDA, survey, machine learning

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DOI: https://doi.org/10.26483/ijarcs.v11i3.6629


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