Abstract
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 onsequences 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.
Conflict of Interest
The authors declare no conflict of interest.
Ethical Approval
Not applicable
Data Availability
The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].
Funding
This work did not receive any external funding.
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