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Automated face detection and recognition for a login system
Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867614069119254528 |
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| access_status_str | Open Access |
| author | Louw, Lloyd A. B. |
| author2 | Herbst, B. M. |
| author_browse | Herbst, B. M. Louw, Lloyd A. B. |
| author_facet | Herbst, B. M. Louw, Lloyd A. B. |
| author_sort | Louw, Lloyd A. B. |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/1773 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:46:10.315Z |
| 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:10019.1/1773 Automated face detection and recognition for a login system Louw, Lloyd A. B. Herbst, B. M. Muller, N. University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. Dissertations -- Applied mathematics Theses -- Applied mathematics Biometric identification Computer security Human face recognition (Computer science) Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007. The face is one of the most characteristic parts of the human body and has been used by people for personal identification for centuries. In this thesis an automatic process for frontal face recognition from 2–dimensional images is presented based on principal component analysis. The goal is to use these concepts in eventual face–recognizing login software. The first step is detecting faces in images that are allowed a certain degree of clutter. This is achieved by skin colour detection in the HSV colourspace. This process indicates the area of the image most likely corresponding to the face. Extracting the face is achieved by morphological processing of this area of the image. The face is then normalized by a transformation that uses the eye coordinates as input. Automatic eye detection is implemented based on colour analysis of the facial images and a 91.1% success rate is achieved. Recognition of the normalized faces is achieved using eigenfaces. To calculate these, a large enough database of facial images is needed. The xm2vts database is used in this thesis as the images have very constant lighting conditions throughout – an important factor affecting the accuracy of the recognition stage. Distinction is also made between identification and verification of faces. For identification, up to 80.1% accuracy is achieved, while for verification, the equal error rate is approximately 3.5%. 2008-01-15T09:41:48Z 2010-06-01T08:32:56Z 2008-01-15T09:41:48Z 2010-06-01T08:32:56Z 2007-03 Thesis http://hdl.handle.net/10019.1/1773 en University of Stellenbosch 7423095 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Dissertations -- Applied mathematics Theses -- Applied mathematics Biometric identification Computer security Human face recognition (Computer science) Louw, Lloyd A. B. Automated face detection and recognition for a login system |
| title | Automated face detection and recognition for a login system |
| title_full | Automated face detection and recognition for a login system |
| title_fullStr | Automated face detection and recognition for a login system |
| title_full_unstemmed | Automated face detection and recognition for a login system |
| title_short | Automated face detection and recognition for a login system |
| title_sort | automated face detection and recognition for a login system |
| topic | Dissertations -- Applied mathematics Theses -- Applied mathematics Biometric identification Computer security Human face recognition (Computer science) |
| url | http://hdl.handle.net/10019.1/1773 |
| work_keys_str_mv | AT louwlloydab automatedfacedetectionandrecognitionforaloginsystem |