| Author | Orathai Leksakulchai |
| Call Number | AIT Thesis no. CS-92-19 |
| Subject(s) | Pattern recognition systems
|
| Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master
of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | This study proposes and develops two method1:1 for recognition of handwritten
numerals. One classifies samples based on structural features extracted from their
skeletons: the other makes use of their contours from features of their Left and I
Right Profile. Both methods achieve high recognition rates ( more than 90%) and
low error rates. To take advantage of the inherent complementarity of two methods,
we investigate six different ways of combining them for sequential combination and
parallel combination with no sharing rules of the two methods and finally be able to
get more reliable result ( 99%) with very low error rate. |
| Year | 1992 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Hosomura, T. |
| Examination Committee(s) | Huynh, Ngoc Phien ;Sadananda, Ramakoti
|
| Scholarship Donor(s) | German Academic Exchange Service(DAAD) ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |