Adaptive resonance theory and the self-organizing map in Thai character recognition | |
| Author | Suriya Natsupakpong |
| Call Number | AIT Thesis no. CS-01-09 |
| Subject(s) | Self-organizing maps Pattern recognition systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-01-09 |
| Abstract | This study is concerned with neural networks. In particular, two unsupervised neural networks; Adaptive Resonance Theory (ART) and the Self-Organizing Map (SOM), used for the recognition of 44 Thai consonant characters. These characters are represented with four font faces, namely, AngsanaUPC, BrowalliaUPC, CordiaUPC, and EucrosiaUPC. The recognition process starts with converting an image of each character to a binary representation, then using a skeleton and normalization algorithm for preprocessing, and sending them to the concerned neural network. Moreover, two supervised neural networks; Leaming Vector Quantization (L VQ) and Back Propagation (BP), are considered for the same purpose. From the application results, it was found that neural networks can be ranked in descending order from the highest accuracy rate to the lowest as follows: BP, LVQ, SOM, and ART. In addition, this study proposes an improved algorithm by incorporating the supervised learning in SOM. The results of this study show that this algorithm has the fastest training time and the accuracy rates in training set and testing set are 98.23% and 82.58%, respectively. |
| Year | 2001 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-01-09 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Huynh Ngoc Phien; |
| Examination Committee(s) | Hoang Le Tien;Aekavute Sujarae ; |
| Scholarship Donor(s) | The Development and Promotion of Science and Technology Talents Project (DPST) ; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2001 |