Myanmar license plate recognition | |
| Author | Khin San Thwe |
| Call Number | AIT Caps. Proj. no.EL-15-22 |
| Subject(s) | Automobile license plates--Myanmar License system--Myanmar |
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Electronics Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. EL-15-22 |
| Abstract | This project is related to the License plate localization, recognition and segmentation of license plate for Myanmar vehicles. For license plate localization, license plate region and characters regions have been defined using ubuntu. For recognition, the system use hog feature type, SVM machine learning type and ANN machine learning type for the characters to recognize. For Myanmar License Plate Recognition with SVM type, correct percentage in number character is 100 correct percentage of number character is 45.57 For English Character License Plate Recognition with SVM type, correct percentage in number character is 94.34 numbers is 87.75In comparison, SVM has more accurate percentage than ANN. Finally, character segmentation is done on extracted license plates. In segmentation part, three steps such as binarization, blob detection and laplacian of gaussian steps has been done and the recognition results out by matching with truth file. |
| Year | 2015 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. EL-15-22 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Bachelor Degree |
| Academic Program/FoS | Electronic Engineering (EL) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Bohez, Erik L.J.; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2015 |