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Improvement of Face Recognition Using Principal Component Analysis and Moment Invariant

2007
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Release : 2007
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Book Synopsis Improvement of Face Recognition Using Principal Component Analysis and Moment Invariant by : Annie Thomas

Download or read book Improvement of Face Recognition Using Principal Component Analysis and Moment Invariant written by Annie Thomas. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition attracts many researchers and has made significant progress in recent years. Face recognition is a type of biometric just like fingerprint and iris scans. This technology plays an important role in real-world applications, such as commercial and law enforcement applications, from here comes the importance of tackling this kind of research. In this research, we have proposed a method that integrates Principal Component Analysis (PCA) and Moment Invariant with face colour in gray scale to recognize face images of various pose. The PCA method is used to analyze the face image because it is optimal with any similar face image analysis and it has been employed to extract the global information. The vectors of a face in the database that are matched with the one of face image will be recognized the owner. If the vector is not matched, the original face image will be reconsidered with moment invariant and face colour in gray scale extraction. Then, the face will be rematched. In this way, the unrecognized faces will be reconsidered again and some will be recognized accurately to increase the number of recognized faces and improve the recognition accuracy as well. We have applied our method on Olivetti Research Laboratory (ORL) database which is issued by AT&T. The database contains 40 different faces images with 10 each face. Our experiment is done by using the holdout to measure the recognition accuracy, as we divided about 2/3 of the data 280 faces for training, and about 1/3 which is 120 faces for testing. The results showed a recognition accuracy of 94% for applying PCA, and 96% after reconsidering the unrecognized patterns by dealing with pose-varied faces and face colour extraction. Our proposed method has improved the recognition accuracy with the additional features extracted (PCA + face colour in gray scale) with the consideration of the total time process.

Reviews, Refinements and New Ideas in Face Recognition

2011-07-27 Computers
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Release : 2011-07-27
Genre : Computers
Kind : eBook
Book Rating : 683/5 ( reviews)

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Book Synopsis Reviews, Refinements and New Ideas in Face Recognition by : Peter Corcoran

Download or read book Reviews, Refinements and New Ideas in Face Recognition written by Peter Corcoran. This book was released on 2011-07-27. Available in PDF, EPUB and Kindle. Book excerpt: As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

Pose Invariant Face Recognition Using Pca

2015-10-20
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Release : 2015-10-20
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Book Rating : 949/5 ( reviews)

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Book Synopsis Pose Invariant Face Recognition Using Pca by : Patel Nehal

Download or read book Pose Invariant Face Recognition Using Pca written by Patel Nehal. This book was released on 2015-10-20. Available in PDF, EPUB and Kindle. Book excerpt: Both face detection and recognition are very curious areas in the field of image analysis, computer vision and pattern recognition that has received a big deal of attention over the last few years. It has been widely used for the purpose of security and forensic science for identify of an individual e.g. at the place of video surveillance, airports, traffic, terrorist attacks.To analyze the information of face images: faster, robust and efficient face detection and recognition algorithms are required. This system has been facing problems in recognizing subjects of varying poses, illumination conditions, facial expressions, and face occlusions. Due to variation in pose relative to camera certain features like smile, open eyes or mouth, left side or right side of mouth or eyes, occluded mouth or eyes can't be detected and extracted properly. It will be a critical task to detect a person with varying poses in vertical direction. In this work we present, face detection is performed by skin tone. Through PCA extract features and system is getting trained and tested. For face recognition process, Euclidean distance is measured and based on that minimum distance face is recognized

Enhancement and Extensions of Principal Component Analysis for Face Recognition

2009
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Release : 2009
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Book Synopsis Enhancement and Extensions of Principal Component Analysis for Face Recognition by :

Download or read book Enhancement and Extensions of Principal Component Analysis for Face Recognition written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: Primarily due to increasing security demands and potential commercial and law enforcement applications, automatic face recognition has been a subject of extensive study in the past several decades, and remains an active field of research as of today. As a result, numerous techniques and algorithms for face recognition have been developed, many of them proving effective in one way or another. Nevertheless, it has been realized that constructing good solutions for automatic face recognition remains to be a challenge. The last two decades have witnessed significant progress in the development of new methods for automatic face recognition, some being effective and robust against pose, illumination and facial expression variations, while others being able to deal with large-scale data sets. On all accounts, the development of state-of-the-art face recognition systems has been recognized as one of the most successful applications of image analysis and understanding. Among others, the principal component analysis (PCA) developed in the early 1990s has been a popular unsupervised statistical method for data analysis, compression and visualization, and its application to face recognition problems has proven particularly successful. The importance of PCA consists in providing an efficient data compression with reduced information loss, and efficient implementation using singular value decomposition (SVD) of the data matrix. Since its original proposal, many variations of the standard PCA algorithm have emerged. This thesis is about enhancement and extensions of the standard PCA for face recognition. Our contributions are twofold. First, we develop a set of effective pre-processing techniques that can be employed prior to PCA in order to obtain improved recognition rate. Among these, a technique known as perfect histogram matching (PHM) is shown to perform very well. Other pre-processing methods we present in this thesis include an extended sparse PCA algorithm for dimensional.

Recent Advances in Face Recognition

2008-12-01 Computers
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Release : 2008-12-01
Genre : Computers
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Book Rating : 346/5 ( reviews)

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Book Synopsis Recent Advances in Face Recognition by : Kresimir Delac

Download or read book Recent Advances in Face Recognition written by Kresimir Delac. This book was released on 2008-12-01. Available in PDF, EPUB and Kindle. Book excerpt: The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

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