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This thesis relates to the design, implementation and evaluation of statistical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on is...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867613847020371968 |
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| access_status_str | Open Access |
| author | Ballot, Johan Stephen Simeon |
| author2 | Du Preez, J. A. |
| author_browse | Ballot, Johan Stephen Simeon Du Preez, J. A. |
| author_facet | Du Preez, J. A. Ballot, Johan Stephen Simeon |
| author_sort | Ballot, Johan Stephen Simeon |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | This thesis relates to the design, implementation and evaluation of statistical
face recognition techniques. In particular, the use of Hidden Markov
Models in various forms is investigated as a recognition tool and critically
evaluated. Current face recognition techniques are very dependent on issues
like background noise, lighting and position of key features (ie. the eyes,
lips etc.). Using an approach which specifically uses an embedded Hidden
Markov Model along with spectral domain feature extraction techniques,
shows that these dependencies may be lessened while high recognition rates
are maintained. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/2577 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:42:38.497Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/2577 Face recognition using Hidden Markov Models Ballot, Johan Stephen Simeon Du Preez, J. A. Herbst, B. M. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Human face recognition (Computer science) Pattern recognition systems Markov processes Electrical and Electronic Engineering This thesis relates to the design, implementation and evaluation of statistical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained. 2008-06-30T10:39:25Z 2010-06-01T08:52:45Z 2008-06-30T10:39:25Z 2010-06-01T08:52:45Z 2005-03 Thesis http://hdl.handle.net/10019.1/2577 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Human face recognition (Computer science) Pattern recognition systems Markov processes Electrical and Electronic Engineering Ballot, Johan Stephen Simeon Face recognition using Hidden Markov Models |
| title | Face recognition using Hidden Markov Models |
| title_full | Face recognition using Hidden Markov Models |
| title_fullStr | Face recognition using Hidden Markov Models |
| title_full_unstemmed | Face recognition using Hidden Markov Models |
| title_short | Face recognition using Hidden Markov Models |
| title_sort | face recognition using hidden markov models |
| topic | Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Human face recognition (Computer science) Pattern recognition systems Markov processes Electrical and Electronic Engineering |
| url | http://hdl.handle.net/10019.1/2577 |
| work_keys_str_mv | AT ballotjohanstephensimeon facerecognitionusinghiddenmarkovmodels |