STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances

Face Recognition Practices for Partial Occlusion: A Survey

  1. Priya Mate
  2. Rohit Raja

Abstract

Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates in recognition but there are few that gives the marginal rate for sufficient and validated recognition rates for occlude images. This survey illustrates the precise overview of the major face recognition techniques which paves strong foothold for the partially occlude images.

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