Face recognition for remote database backup system
Face recognition is one of the most interesting applications in the image processing field.To build a model to recognize the face of different people, we need to do several processes on the image to obtain the most efficient features.In this research a face recognition model is developed.The dataset...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/9499/1/063.pdf |
| _version_ | 1803625853091840000 |
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| author | Mohamed Din, Aniza Ahmad, Faudziah Mohamad Mohsin, Mohamad Farhan Ku-Mahamud, Ku Ruhana Theab, Mustafa Muwafak |
| author_facet | Mohamed Din, Aniza Ahmad, Faudziah Mohamad Mohsin, Mohamad Farhan Ku-Mahamud, Ku Ruhana Theab, Mustafa Muwafak |
| author_sort | Mohamed Din, Aniza |
| collection | UUM |
| description | Face recognition is one of the most interesting applications in the image processing field.To build a model to recognize the face of different people, we need to do several processes on the image to obtain the most efficient features.In this research a face recognition model is developed.The dataset used is of different face images. Neural Networks technique, specifically Multilayer Perceptron (MLP) model with Back-Propagation learning algorithm and Template Matching approach are implemented in model developed.The face recognition model developed is then applied on a remote database backup system.Template matching approach is found to give a higher percentage of matching accuracy and a faster result can be obtained compared to MLP as no learning process is required |
| first_indexed | 2024-07-04T05:40:52Z |
| format | Conference or Workshop Item |
| id | uum-9499 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:40:52Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | uum-94992014-02-26T09:09:05Z https://repo.uum.edu.my/id/eprint/9499/ Face recognition for remote database backup system Mohamed Din, Aniza Ahmad, Faudziah Mohamad Mohsin, Mohamad Farhan Ku-Mahamud, Ku Ruhana Theab, Mustafa Muwafak QA76 Computer software Face recognition is one of the most interesting applications in the image processing field.To build a model to recognize the face of different people, we need to do several processes on the image to obtain the most efficient features.In this research a face recognition model is developed.The dataset used is of different face images. Neural Networks technique, specifically Multilayer Perceptron (MLP) model with Back-Propagation learning algorithm and Template Matching approach are implemented in model developed.The face recognition model developed is then applied on a remote database backup system.Template matching approach is found to give a higher percentage of matching accuracy and a faster result can be obtained compared to MLP as no learning process is required 2011-11-29 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/9499/1/063.pdf Mohamed Din, Aniza and Ahmad, Faudziah and Mohamad Mohsin, Mohamad Farhan and Ku-Mahamud, Ku Ruhana and Theab, Mustafa Muwafak (2011) Face recognition for remote database backup system. In: 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Nov. 29 2011-Dec. 1 2011, Seogwipo. http://ieeexplore.ieee.org.eserv.uum.edu.my/xpl/articleDetails.jsp?tp=&arnumber=6316622&queryText%3Dfaudziah+ahmad |
| spellingShingle | QA76 Computer software Mohamed Din, Aniza Ahmad, Faudziah Mohamad Mohsin, Mohamad Farhan Ku-Mahamud, Ku Ruhana Theab, Mustafa Muwafak Face recognition for remote database backup system |
| title | Face recognition for remote database backup system |
| title_full | Face recognition for remote database backup system |
| title_fullStr | Face recognition for remote database backup system |
| title_full_unstemmed | Face recognition for remote database backup system |
| title_short | Face recognition for remote database backup system |
| title_sort | face recognition for remote database backup system |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/9499/1/063.pdf |
| work_keys_str_mv | AT mohameddinaniza facerecognitionforremotedatabasebackupsystem AT ahmadfaudziah facerecognitionforremotedatabasebackupsystem AT mohamadmohsinmohamadfarhan facerecognitionforremotedatabasebackupsystem AT kumahamudkuruhana facerecognitionforremotedatabasebackupsystem AT theabmustafamuwafak facerecognitionforremotedatabasebackupsystem |