A Review of Person Recognition Based on Face Model
Face recognition has become an attractive field in computer-based application development in the last few decades. This is because of the wide range of areas in which it is used. In addition, because of the wide variations of faces, face recognition from database images, real data, capture images, a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Tishk International University
2018-09-01
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| Series: | Eurasian Journal of Science and Engineering |
| Subjects: | |
| Online Access: | http://eajse.org/wp-content/uploads/2015/12/A-Review-of-Person-Recognition-Based-on-Face-Model-.pdf |
| Summary: | Face recognition has become an attractive field in computer-based application development in the last few decades. This is because of the wide range of areas in which it is used. In addition, because of the wide variations of faces, face recognition from database images, real data, capture images, and sensor images are a challenging problem and limitation. Image processing, pattern recognition, and computer vision are relevant subjects to the face recognition field. The innovation of new approaches of face authentication technologies is a continuous subject to building much stronger face recognition algorithms. In this work, to identify a face, three major strategies for feature extractions are discussed. Appearance-based, Model-based methods and hybrid methods as feature extractions techniques are discussed too. There is also a review of major person recognition research. The characteristics of good face authentication applications, Classification, Distance measurements, and face databases are discussed while the final suggested methods are presented. This research has six sections ordered as follows: Section one is the introduction. Section two is dedicated to applications related to face recognition. In section three, face recognition techniques are presented by details. Then, classification types are illustrated in section four. In section five, standard face databases are presented. Finally, in section six, the conclusion is presented followed by the list of references. |
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| ISSN: | 2414-5629 2414-5602 |