Nowadays our society is an information-based highly evolved society; the use of technology has permeated various industries. The technology of face recognition is the product of our age and it has been applied in various fields like building in safety control, customs security check, smart card security system and network people search etc. Face recognition
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Face recognition also say that automatic face recognition, Its relation technologywas used widely and payed more attention in the world in recent years. Facerecognition become an import branch and keep pace with fingerprint identification, irisrecognition and voice recognition.The products of the face recognition towards the miniaturization as well as thecomputer towards intelligence and miniaturization development.
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Face recognition, a popular modality of biometrics, due to its availability and relative uniqueness, is becoming more and more popular. Though study and practice show that face recognition is effective when used in controlled environment and strong progress have been made in the overall area of face recognition, there still exist obstacles for its widespread
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Among various identification based biology character technology, face recognition technology has been extensively applied to abroad range of field due to its unique superiority compared with others. As the key issues in face recognition, feature extraction and expression have received considerable academic attention in several years. On one hand, different kinds of face feature expression
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Facial recognition is a very important research subject in pattern recognition. One of the basic issues in pattern recognition involves feature extraction. In facial recognition, the key point is whether the distinguished feature of face image can be extracted. Based on linear subspace, feature extraction becomes a popular way. This paper will do a deep
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The recognition of human faces is an active subject in the pattern recognition field in the past few years, and it has a wild range of potential applications. But until now, research results that we have got are far away from satisfactorily solved.Firstly, the background, content, significance of the human faces recognition field are summarized.
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With the development of information technology, face recognition is widely used in information security, security systems, human-computer interaction and other fields. Face recognition is a multi-disciplinary technology, involving a number of areas, which include image processing, computer vision, pattern recognition and so on. Because of the broad development prospects of the face recognition, face recognition
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With the development of information technology, face recognition is widely used in information security, security systems, human-computer interaction and other fields. Face recognition is a multi-disciplinary technology, involving a number of areas, which include image processing, computer vision, pattern recognition and so on. Because of the broad development prospects of the face recognition, face recognition
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Face recognition technology,as an important field of pattern recognition,Face detection is the premise of rapid and accurate face recognition,its purpose is detecting the face from a picture background.In color images,the skin–color is the important information of face,,Using skin color information to detect human face in colorful image is quick and practicable,but is not accurate.The paper
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An image-based face recognition system for tour buses is described in this paper. The thesis studies the human face feature extraction and dimension reduction techniques, and the design of the face recognition system of tour bus systematically, based on the curvelet known as multi-resolution mathematical tool and subspace method.In feature extraction part, the curvelet transform
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