Micro Neural-Controller for Optical Character Recognition
This paper presents a Micro-Neural Controller (MNC) for Optical Character Recognition (OCR). The controller consists of both a multilayered feedforward Artificial Neural Network (ANN) and a von Neumann-type microcontroller. The ANN is supervised and trained using back-propagation. The role of the AN...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
Murdoch University
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/6523 |
| _version_ | 1848745099517755392 |
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| author | Lim, Ker-chin Ortega-Sanchez, Cesar |
| author_facet | Lim, Ker-chin Ortega-Sanchez, Cesar |
| author_sort | Lim, Ker-chin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a Micro-Neural Controller (MNC) for Optical Character Recognition (OCR). The controller consists of both a multilayered feedforward Artificial Neural Network (ANN) and a von Neumann-type microcontroller. The ANN is supervised and trained using back-propagation. The role of the ANN is to perform character recognition while the microcontroller coordinates the data transfer between the network and the user. The results show that the network recognizes the patterns effectively and the microcontroller is able to execute a demonstration program. |
| first_indexed | 2025-11-14T06:11:58Z |
| format | Conference Paper |
| id | curtin-20.500.11937-6523 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:11:58Z |
| publishDate | 2006 |
| publisher | Murdoch University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-65232017-02-27T14:47:58Z Micro Neural-Controller for Optical Character Recognition Lim, Ker-chin Ortega-Sanchez, Cesar embedded systems Neural networks FPGAs pattern-recognition This paper presents a Micro-Neural Controller (MNC) for Optical Character Recognition (OCR). The controller consists of both a multilayered feedforward Artificial Neural Network (ANN) and a von Neumann-type microcontroller. The ANN is supervised and trained using back-propagation. The role of the ANN is to perform character recognition while the microcontroller coordinates the data transfer between the network and the user. The results show that the network recognizes the patterns effectively and the microcontroller is able to execute a demonstration program. 2006 Conference Paper http://hdl.handle.net/20.500.11937/6523 Murdoch University fulltext |
| spellingShingle | embedded systems Neural networks FPGAs pattern-recognition Lim, Ker-chin Ortega-Sanchez, Cesar Micro Neural-Controller for Optical Character Recognition |
| title | Micro Neural-Controller for Optical Character Recognition |
| title_full | Micro Neural-Controller for Optical Character Recognition |
| title_fullStr | Micro Neural-Controller for Optical Character Recognition |
| title_full_unstemmed | Micro Neural-Controller for Optical Character Recognition |
| title_short | Micro Neural-Controller for Optical Character Recognition |
| title_sort | micro neural-controller for optical character recognition |
| topic | embedded systems Neural networks FPGAs pattern-recognition |
| url | http://hdl.handle.net/20.500.11937/6523 |