Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49509
Title: Gender classification and age estimation using fingerprint and ear features
Researcher: Gnanasivam P
Guide(s): Muttan S
Keywords: age estimation
fingerprint
Information and communication engineering
Upload Date: 15-Sep-2015
University: Anna University
Completed Date: 01/08/2014
Abstract: The problem of gender classification has been done by a few newlineauthors using fingerprint face voice and gait However this area has not newlinebeen studied extensively In this thesis a novel technique Optimal Score newlineAssignment OSA method is adopted for gender classification using newlinefingerprints The fingerprint friction ridge count ridge width and the fingertip newlinesize have been taken as features for the identification of gender By OSA newlinemethod the frequency of occurrence of particular value of each features are newlinecalculated for male and female Depends on the occurrence of particular value newlineof the features an optimal score is assigned individually for male and female of the fingerprint newline newline
Pagination: xxiii, 220p.
URI: http://hdl.handle.net/10603/49509
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File123.3 kBAdobe PDFView/Open
02_certificate.pdf5.82 kBAdobe PDFView/Open
03_abstract.pdf10.11 kBAdobe PDFView/Open
04_acknowledgement.pdf6.08 kBAdobe PDFView/Open
05_contents.pdf33.29 kBAdobe PDFView/Open
06_chapter 1.pdf861.24 kBAdobe PDFView/Open
07_chapter 2.pdf64.67 kBAdobe PDFView/Open
08_chapter 3.pdf3.13 MBAdobe PDFView/Open
09_chapter 4.pdf548.96 kBAdobe PDFView/Open
10_chapter 5.pdf984.54 kBAdobe PDFView/Open
11_chapter 6.pdf979.54 kBAdobe PDFView/Open
12_chapter 7.pdf53.93 kBAdobe PDFView/Open
13_chapter 8.pdf37.32 kBAdobe PDFView/Open
14_appendix.pdf544.69 kBAdobe PDFView/Open
15_references.pdf47.99 kBAdobe PDFView/Open
16_publications.pdf9.68 kBAdobe PDFView/Open


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