Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/333224
Title: Palm print identification system based on intramodal fusion and hashing approaches
Researcher: Malathi Latha Y L
Guide(s): Prasad Munaga V N K
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
Identification system
University: Jawaharlal Nehru Technological University, Hyderabad
Completed Date: 2018
Abstract: Today s electronically interconnected information society requires accurate automatic personal authentication schemes to authenticate a person s identity before giving an access to resources. The motivation behind such schemes is to guarantee that a legitimate user and nobody else access the rendered resources. Cases of such applications incorporate secure access to personal computers (PCs), laptops, PDAs, network and applications, control entry to secure areas of a building and Automatic Teller Machine (ATM) and debit transactions. Without newlineindividual recognition schemes, these systems are vulnerable to the wiles newlineof an imposter.Traditionally, human identification systems so far used are newlinepasswords, passports, ID cards, voter cards, ration cards etc. But, these newlinecan be easily forgotten, borrowed, stolen or forged.To avoid these malpractices it is necessary to create an authentication system by using biometrics. Researchers have shown promising results on employing unimodal approaches individually. However, efforts are still requiredfor achieving newlinehigher performance for their use in higher security application. These unimodal approaches rely on the evidence of a single source of information for authentication of person.However there are certain limitations to this unimodal approaches.Deformed data from sensor newlinedevices, variability, poor performance, non universality,spoofing are some of the limitations of unimodal system. These limitations can be overcome by integrating palmprint with other biometric modalities (multimodal system) or combining various classifiers (intra-modalsystem).
Pagination: 146p.
URI: http://hdl.handle.net/10603/333224
Appears in Departments:Faculty of Computer Science & Engineering

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01_title.pdfAttached File178.41 kBAdobe PDFView/Open
02_declaration.pdf194.02 kBAdobe PDFView/Open
03_certificate.pdf460.67 kBAdobe PDFView/Open
04_acknowledgement.pdf110.57 kBAdobe PDFView/Open
05_abstract.pdf162.7 kBAdobe PDFView/Open
06_table of content.pdf132.97 kBAdobe PDFView/Open
07_list of figures_tables_abbreviation.pdf476.6 kBAdobe PDFView/Open
08_chapter 1.pdf787.8 kBAdobe PDFView/Open
09_chapter 2.pdf363.88 kBAdobe PDFView/Open
10_chapter 3.pdf907.3 kBAdobe PDFView/Open
11_chapter 4.pdf857.9 kBAdobe PDFView/Open
12_chapter 5.pdf614.43 kBAdobe PDFView/Open
13_chapter 6.pdf112.72 kBAdobe PDFView/Open
14_publications.pdf254.78 kBAdobe PDFView/Open
15_references.pdf401.13 kBAdobe PDFView/Open
80_recommendation.pdf289.72 kBAdobe PDFView/Open
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