Gender recognition based on facial image extraction
In principle, to combine face detection and gender classification methods may seem simple. However, this process is more complex than it appears because requires many aspects for consideration. The gender classification has attracted much attention in psychological literature, relatively few machine...
| Príomhchruthaitheoir: | |
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| Formáid: | Undergraduates Project Papers |
| Teanga: | English |
| Foilsithe / Cruthaithe: |
2010
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| Ábhair: | |
| Rochtain ar líne: | http://umpir.ump.edu.my/id/eprint/2011/1/Nurul_Zarina_Md_Isa_%28_CD_5417_%29.pdf |
| _version_ | 1825821199041560576 |
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| author | Nurul Zarina, Md Isa |
| author_facet | Nurul Zarina, Md Isa |
| author_sort | Nurul Zarina, Md Isa |
| collection | UMP |
| description | In principle, to combine face detection and gender classification methods may seem simple. However, this process is more complex than it appears because requires many aspects for consideration. The gender classification has attracted much attention in psychological literature, relatively few machine vision methods have been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with offline gender classification using purely image processing technique which using a database that was included in the system. The way of doing this is by extracting the differences between male and female facial features. Obviously the classification base on a single feature is not adequate since humans share many facial properties even within different gender group. So multilayer processing is needed. This project is working as expected based on the scope and objective of project. Although not many varieties of facial images have been considered like colored hair the basic techniques should be just the same. For the system classification, Template Matching Technique is used to match image with the database image. The system attempts are made to capture the most appropriate representation of face images as a whole and exploit the statistical regularities of pixel intensity variations. When attempting recognition, the unclassified image is compared with all the database images, returning a vector of matching score. The unknown person is then classified as the one giving the highest cumulative score. This project will be build using the MATLAB software. Overall, the project can be used and developed for various purposes, particularly to expedite the process of searching the database. The refinement of this project in other hand can lead to more accurate and reliable result by considering other facial properties like eyes, nose and eyebrows |
| first_indexed | 2024-03-06T11:37:55Z |
| format | Undergraduates Project Papers |
| id | UMPir2011 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:37:55Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | UMPir20112021-06-28T08:22:10Z http://umpir.ump.edu.my/id/eprint/2011/ Gender recognition based on facial image extraction Nurul Zarina, Md Isa TK Electrical engineering. Electronics Nuclear engineering In principle, to combine face detection and gender classification methods may seem simple. However, this process is more complex than it appears because requires many aspects for consideration. The gender classification has attracted much attention in psychological literature, relatively few machine vision methods have been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with offline gender classification using purely image processing technique which using a database that was included in the system. The way of doing this is by extracting the differences between male and female facial features. Obviously the classification base on a single feature is not adequate since humans share many facial properties even within different gender group. So multilayer processing is needed. This project is working as expected based on the scope and objective of project. Although not many varieties of facial images have been considered like colored hair the basic techniques should be just the same. For the system classification, Template Matching Technique is used to match image with the database image. The system attempts are made to capture the most appropriate representation of face images as a whole and exploit the statistical regularities of pixel intensity variations. When attempting recognition, the unclassified image is compared with all the database images, returning a vector of matching score. The unknown person is then classified as the one giving the highest cumulative score. This project will be build using the MATLAB software. Overall, the project can be used and developed for various purposes, particularly to expedite the process of searching the database. The refinement of this project in other hand can lead to more accurate and reliable result by considering other facial properties like eyes, nose and eyebrows 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2011/1/Nurul_Zarina_Md_Isa_%28_CD_5417_%29.pdf Nurul Zarina, Md Isa (2010) Gender recognition based on facial image extraction. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nurul Zarina, Md Isa Gender recognition based on facial image extraction |
| title | Gender recognition based on facial image extraction |
| title_full | Gender recognition based on facial image extraction |
| title_fullStr | Gender recognition based on facial image extraction |
| title_full_unstemmed | Gender recognition based on facial image extraction |
| title_short | Gender recognition based on facial image extraction |
| title_sort | gender recognition based on facial image extraction |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/2011/1/Nurul_Zarina_Md_Isa_%28_CD_5417_%29.pdf |
| work_keys_str_mv | AT nurulzarinamdisa genderrecognitionbasedonfacialimageextraction |