Face Recognition using Face Alignment and PCA Techniques: A Literature Survey
Iosr Journals, Reecha Sharma, Manjeet Singh Patterh · Figshare · 2015
The face is our key of attention in social communication, playing a main role in transmission identity and sentiment. Hence, Face recognition has become an important issue in many applications such as security systems, 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, we can easily recognize a humane face. However, only little work has been done in literature on low-resolution face recognition and partial face recognition. Numerous alignment methods and techniques have been developed for face recognition. In this literature survey, we are presenting a study in Face Alignment techniques for Face Recognition and presenting a brief introduction about face recognition process. The main keys issue of this literature survey is to be classified based face alignment techniques on their drawbacks in finding a solution to some of the above-mentioned problems. Moreover, this paper presents a concise description about the Face Alignment and PCA techniques and the instructions for future research.