Face Recognition using Face Alignment and PCA Techniques: ALiterature Survey

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4

Abstract

Abstract: The face is our key of attention in social communication, playing a main role in transmission identityand sentiment. Hence, Face recognition has become an important issue in many applications such as securitysystems, credit card verification and criminal identification. In human face profiles, the shape and size of eyes,nose, mouth and their relationship have been commonly used as a feature. With correctly extracted features, wecan easily recognize a humane face. However, only little work has been done in literature on low-resolutionface recognition and partial face recognition. Numerous alignment methods and techniques have beendeveloped for face recognition. In this literature survey, we are presenting a study in Face Alignment techniquesfor Face Recognition and presenting a brief introduction about face recognition process. The main keys issue ofthis literature survey is to be classified based face alignment techniques on their drawbacks in finding a solutionto some of the above-mentioned problems. Moreover, this paper presents a concise description about the FaceAlignment and PCA techniques and the instructions for future research.

Authors and Affiliations

Reecha Sharma, M. S Patterh

Keywords

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  • EP ID EP122350
  • DOI -
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How To Cite

Reecha Sharma, M. S Patterh (2015).  Face Recognition using Face Alignment and PCA Techniques: ALiterature Survey. IOSR Journals (IOSR Journal of Computer Engineering), 17(4), 17-30. https://europub.co.uk/articles/-A-122350