Intelligent fingerprint recognition system
The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the d...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/77/ http://umpir.ump.edu.my/id/eprint/77/1/symohdsyathiree04016ump07thp.pdf |
| _version_ | 1848816533748318208 |
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| author | Sy Mohd Syathir, Sy Ali Zainol Abidin |
| author_facet | Sy Mohd Syathir, Sy Ali Zainol Abidin |
| author_sort | Sy Mohd Syathir, Sy Ali Zainol Abidin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data. |
| first_indexed | 2025-11-15T01:07:23Z |
| format | Undergraduates Project Papers |
| id | ump-77 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:07:23Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-772021-06-04T04:15:22Z http://umpir.ump.edu.my/id/eprint/77/ Intelligent fingerprint recognition system Sy Mohd Syathir, Sy Ali Zainol Abidin TK Electrical engineering. Electronics Nuclear engineering The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data. 2007-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/77/1/symohdsyathiree04016ump07thp.pdf Sy Mohd Syathir, Sy Ali Zainol Abidin (2007) Intelligent fingerprint recognition system. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sy Mohd Syathir, Sy Ali Zainol Abidin Intelligent fingerprint recognition system |
| title | Intelligent fingerprint recognition system |
| title_full | Intelligent fingerprint recognition system |
| title_fullStr | Intelligent fingerprint recognition system |
| title_full_unstemmed | Intelligent fingerprint recognition system |
| title_short | Intelligent fingerprint recognition system |
| title_sort | intelligent fingerprint recognition system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/77/ http://umpir.ump.edu.my/id/eprint/77/1/symohdsyathiree04016ump07thp.pdf |