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http://hdl.handle.net/10603/23843
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Effective techniques for Palmprint enhancement | en_US |
dc.date.accessioned | 2014-08-21T10:20:46Z | - |
dc.date.available | 2014-08-21T10:20:46Z | - |
dc.date.issued | 2014-08-21 | - |
dc.identifier.uri | http://hdl.handle.net/10603/23843 | - |
dc.description.abstract | Biometrics is defined as the measurable physiological or behavioral characteristics of a particular object It includes the identification of people by unique body features scars or a combination of other physiological criteria such as height eye color and complexion Study of biometrics consists of two main research areas: image processing that deals with the extraction of numerals from imagery data and pattern recognition a part of statistical machine learning theory that can match numerals to one another Biometric newlinetechniques are used mainly in security operations that include physical access control customer employee verification computer log in welfare disbursement international border crossing national ID card and keyless entry and keyless ignition in automobiles newlineBiometric based personal recognition is described as an automated method to recognize individuals based on their distinguishing physiological or behavioral traits The well known biometric technologies include fingerprinting hand geometry signature verification voice verification retinal scanning iris scanning and facial recognition Fingerprint identification has progressed over many years but it cannot be used in a small part of the population due to age accidents genetic reasons environmental or newlineoccupational reasons Although iris and retinal recognition provide optimum accuracy the high costs of input devices or intrusion into users prevent the use of this method Researchers developed face and voice verification systems but their performance is still not satisfactory newline newline | en_US |
dc.format.extent | xxvii, 187p. | en_US |
dc.language | English | en_US |
dc.relation | p.174-184. | en_US |
dc.rights | university | en_US |
dc.title | Some effective techniques for palmprint enhancement | en_US |
dc.title.alternative | en_US | |
dc.creator.researcher | Palanikumar S | en_US |
dc.subject.keyword | Biometrics | en_US |
dc.subject.keyword | Information and communication engineering | en_US |
dc.subject.keyword | Palmprint enhancement | en_US |
dc.description.note | References p.174-184, | en_US |
dc.contributor.guide | Sasikumar M | en_US |
dc.publisher.place | Chennai | en_US |
dc.publisher.university | Anna University | en_US |
dc.publisher.institution | Faculty of Information and Communication Engineering | en_US |
dc.date.registered | n.d. | en_US |
dc.date.completed | 01/11/2013 | en_US |
dc.date.awarded | 30/11/2013 | en_US |
dc.format.dimensions | 23cm. | en_US |
dc.format.accompanyingmaterial | None | en_US |
dc.source.university | University | en_US |
dc.type.degree | Ph.D. | en_US |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 38.71 kB | Adobe PDF | View/Open |
02_certificate.pdf | 826.72 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 12.65 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 6.29 kB | Adobe PDF | View/Open | |
05_content.pdf | 44 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 149.45 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 176.32 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 1.53 MB | Adobe PDF | View/Open | |
09_chapter4.pdf | 1.41 MB | Adobe PDF | View/Open | |
10_chapter5.pdf | 621.18 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 19.28 kB | Adobe PDF | View/Open | |
12_references.pdf | 42.92 kB | Adobe PDF | View/Open | |
13_publication.pdf | 9.55 kB | Adobe PDF | View/Open | |
14_vitae.pdf | 5.51 kB | Adobe PDF | View/Open |
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