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Title: Face Verification Using support Vector Machines with Histogram Intersection Kernal
Researcher: Sekar, Mummalaneni Raja
Guide(s): Premchand, P
Muralikrishna, I V
Keywords: Histogram
Upload Date: 27-Jun-2014
University: Jawaharlal Nehru Technological University, Hyderabad
Completed Date: 2013
Abstract: Face verification is an image categorization procedure. In this the face of the person is identified by using the given set of images. The precision of face verification system decreases when there is a variation in position of the testing image with the training images. The present thesis newlinediscusses various procedures to enhance the precision of face verification system under dissimilar orientations of testing and training images. One way of doing this is by adjusting the orientation of image applying bin calculation procedure. By being capable to modify the images, the testing and training images can be normalized so that they will have similar pose. After normalization training and testing images will have same pose. In this work we are utilizing support vector machines (SVM) newlinefor classification; the second procedure applies a Histogram intersection kernel planted in support vector discrimination function. The Histogram intersection kernel proved an enhanced the performance in face newlineverification. Utilizing these procedures, faces verification precision can be enhanced compared to other procedures that do not utilize pose adjustment or classic SVM kernels.
Pagination: 200 p.
Appears in Departments:Faculty of Computer Science & Engineering

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01_title.pdfAttached File29.36 kBAdobe PDFView/Open
02_declaration.pdf60.14 kBAdobe PDFView/Open
03_certificate.pdf55.17 kBAdobe PDFView/Open
04_dedication.pdf27.73 kBAdobe PDFView/Open
05_acknowledgement.pdf54.74 kBAdobe PDFView/Open
06_abstract.pdf55.56 kBAdobe PDFView/Open
07_contents.pdf67.47 kBAdobe PDFView/Open
08_list of tables & figures.pdf60.82 kBAdobe PDFView/Open
09_chapter1.pdf21.68 kBAdobe PDFView/Open
10_chapter2.pdf23.66 kBAdobe PDFView/Open
11_chapter3.pdf17.31 kBAdobe PDFView/Open
12_chapter4.pdf17.83 kBAdobe PDFView/Open
13_chapter5.pdf18.28 kBAdobe PDFView/Open
14_chapter6.pdf17.49 kBAdobe PDFView/Open
15_chapter7.pdf21.38 kBAdobe PDFView/Open
16_chapter8.pdf17.34 kBAdobe PDFView/Open
17_biblography.pdf237.71 kBAdobe PDFView/Open
18_appendix.pdf726.94 kBAdobe PDFView/Open

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