| Author | Manasa, Nadimpalli Lakshmi |
| Note | A thesis submitted in partial fulfillment of the requirements for the
degree of Master of Engineering in
Microelectronics and Embedded Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Identification of license plate, Thai numerals including logo is proposed using deep learning method. This is done by collecting the Thai character numerals (0-9) from which a dataset is created to identify them and is constructed to train convolutional neural network (CNN). CNN has proved to achieve state-of-the-art results in such tasks such as optical character recognition, generic objects recognition, and real-time face detection and pose estimation, speech recognition, license plate recognition etc. Subsequently, this method involves detection and recognition of all the Thai numeral characters (0-9), using CNN model. With the trained model, character recognition system is designed and implemented. In this thesis we make use of object detection algorithm YOLOV3 with the help of network architecture Darknet. The proposed method includes recognition and character segmentation in a given license plate image. The experimental results indicate that the proposed deep learning algorithm method is efficient in detecting the character |
| Year | 2019 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Dailey, Matthew N. ;Abeykoon, A.M.Harsha S. ; |
| Scholarship Donor(s) | AIT Fellowship; |
| Degree | Thesis (M. Eng.) -- Asian Institute of Technolgy, 2019 |