1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/232867
Title: An intelligent Indian sign language recognition system with hybrid classification approach using hand gesture images and NAM speech signal
Researcher: M, Suresh Anand
Guide(s): Kumar, N Mohan
Keywords: DWT
Handgestureimage
MFCC
NAMspeechsignal
Signlanguage
University: Anna University
Completed Date: 2018
Abstract: Abstract available
Pagination: xvi, 130p.
URI: http://hdl.handle.net/10603/232867
Appears in Departments:Faculty of Information and Communication Engineering

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01_title page.pdfAttached File24.33 kBAdobe PDFView/Open
02_certificate.pdf657.67 kBAdobe PDFView/Open
03_abstract.pdf84.98 kBAdobe PDFView/Open
04_acknowledgement.pdf5.16 kBAdobe PDFView/Open
05_table of content.pdf13.33 kBAdobe PDFView/Open
06_list of table.pdf9.04 kBAdobe PDFView/Open
07_list of figures.pdf8.81 kBAdobe PDFView/Open
08_list of abbreviation.pdf8.39 kBAdobe PDFView/Open
09_chapter 1.pdf1.34 MBAdobe PDFView/Open
10_chapter 2.pdf276.65 kBAdobe PDFView/Open
11_chapter 3.pdf491.23 kBAdobe PDFView/Open
12_chapter 4.pdf1.71 MBAdobe PDFView/Open
13_chapter 5.pdf598.82 kBAdobe PDFView/Open
14_chapter 6.pdf406.79 kBAdobe PDFView/Open
15_references.pdf365.14 kBAdobe PDFView/Open
16_list of publication.pdf171.04 kBAdobe PDFView/Open
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