facial gender recognition using svm matlab code

Abstract

This paper presents a method for Gender Recognition using Support Vector Machine (SVM).This System
consists of two stages Feature Extraction and SVM Classification. In Feature Extraction we separate out eyes nose and mouth from the face. In SVM Classification those separated parts are grouped in two
parts.(Male anf Female). This System is carried out in two Process Training Process and Testing Process. In Training Process we create the database of few persons and mention their group ....etc

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To get full information or details of iris recognition svm matlab code please have a look on the pages

http://seminarsprojects.net/Thread-synopsis-on-iris-recognition-using-matlab

if you again feel trouble on iris recognition svm matlab code please reply in that page and ask specific fields in iris recognition svm matlab code ....etc

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to get information about the topic face recognition using svm related topic refer the page link bellow

http://seminarsprojects.net/Thread-face-detection-in-images-neural-networks-support-vector-machines ....etc

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i want Support vector machine matlab code. plz help me. ....etc

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Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics, such as gender, ethnicity, and age. In particular, recognizing human gender is important since people respond differently according to gender. In addition, a successful gender classification approach can boost the performance of many other applications, including person recognition and smart hu ....etc

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To get full information or details of face recognition using pca please have a look on the pages

http://seminarsprojects.net/Thread-Human-Face-Recognition-Using-PCA-on-Wavelet-Subband

http://seminarsprojects.net/Thread-Face-Recognition-using-Principal-Component-Analysis--44427

http://seminarsprojects.net/Thread-FACE-RECOGNITION-USING-PRINCIPAL-COMPONENT-ANALYSIS?pid=90032

if you again feel trouble on face recognition using pca please reply in that page and ask specific fields in face recognition using pca ....etc

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to get information about the topic face recognition technology full report ppt, and related topics refer the page link bellow

http://seminarsprojects.net/Thread-face-recognition-technology-a-seminars-report

http://seminarsprojects.net/Thread-face-recognition-technology-a-seminars-report?page=4

http://seminarsprojects.net/Thread-seminars-report-on-face-recognition-technology

http://seminarsprojects.net/Thread-FACE-RECOGNITION-TECHNOLOGY-SEMINAR-REPORT--28533

http://seminarsprojects.net/Thread-face-recognition-technology--27390

http://semin ....etc

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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
-insensitive zone and regularization parameter C). The proposed methodology advocates analytic
parameter selection directly from the training data, rather than resampling approaches commonly
used in SVM applications. Good generalization performance of the proposed parameter selection is
demonstrated empirically using several low-dimensional and high-dimensional regression
problems. Further, we point out the importance of Vapnik s -insens ....etc

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i need matlab code for digital video watermarking using dwt and pca ....etc

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Principle Component Analysis PCA is a classical feature extraction and data representation technique
widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has
drawback of high computational especially for big size database. This paper conducts a study to optimize
the time complexity of PCA (eigenfaces) that does not affects the recognition performance. The authors
minimize the participated eigenvectors which consequently decreases the computational time. A
comparison is done to compare ....etc

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