1. Shodhganga@INFLIBNET
  2. The Gandhigram Rural Institute
  3. Department of Computer Science and Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/315785
Title: Facial feature annotations based automated partially occluded face recognition system
Researcher: Ashish Kumar
Guide(s): Shanmugavadivu, P
Keywords: Bit-planes
Canny Algorithm
Computer Science
Edge Detection
Engineering and Technology
Imaging Science and Photographic Technology
Modified Threshold
University: The Gandhigram Rural Institute
Completed Date: 2020
Abstract: newline
Pagination: xx, 190p.
URI: http://hdl.handle.net/10603/315785
Appears in Departments:Department of Computer Science and Applications

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01_title.pdfAttached File16.71 kBAdobe PDFView/Open
02_certificate.pdf87.92 kBAdobe PDFView/Open
03_declaration.pdf35.5 kBAdobe PDFView/Open
04_acknowledgement.pdf34.6 kBAdobe PDFView/Open
05_contents.pdf34.08 kBAdobe PDFView/Open
06_list of tables.pdf27.61 kBAdobe PDFView/Open
07_list of figures.pdf41.87 kBAdobe PDFView/Open
08_list of algorithms.pdf23.91 kBAdobe PDFView/Open
09_list of flowcharts.pdf23.98 kBAdobe PDFView/Open
10_abbreviations.pdf34.68 kBAdobe PDFView/Open
11_abstract.pdf37.33 kBAdobe PDFView/Open
12_chapter 1.pdf704.12 kBAdobe PDFView/Open
13_chapter 2.pdf151.77 kBAdobe PDFView/Open
14_chapter 3.pdf1.03 MBAdobe PDFView/Open
15_chapter 4.pdf984.36 kBAdobe PDFView/Open
16_chapter 5.pdf3.49 MBAdobe PDFView/Open
17_chapter 6.pdf2.04 MBAdobe PDFView/Open
18-chapter 7.pdf44.28 kBAdobe PDFView/Open
19_bibliography.pdf112.75 kBAdobe PDFView/Open
20_appendix.pdf30.34 kBAdobe PDFView/Open
80_recommendation.pdf78.28 kBAdobe PDFView/Open
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