Tên bài báo:

Research on Application of Conjoint Neural Networks in Vehicle License Plate Recognition
Tác giả:
Nguyễn Văn Tuân
Tham gia cùng:
Tạp chí:
International Journal of Engineering Research and Technology
Năm xuất bản:
Từ trang 1499 đến trang 1510
Lĩnh vực:
Kỹ thuật cơ khí
Phạm vi:
Quốc tế

Tóm tắt:

Annually, the number of vehicles in each country is constantly increasing, creating challenges in traffic management. Vehicle license plate recognition plays an important role in developing social conditions to prevent vehicle theft, traffic law violations, vehicle retention. The vehicle license plate identification system basically consists of processing steps such as: detecting the license plates, segmenting the characters and identifying each character to be separated. In particular, the character segment is the most challenging part of the task, the accuracy of the results depends very much on the accuracy of the license plate in the segment. The problem of different lighting conditions, the distance and the angle of the picture, the license plates are dirty or old will reduce the accuracy of the character segment. Thus, to increase the accuracy of the author using conjoint neural networks with learning and processing methods used in identification with accuracy up to 95.7%.

Từ khóa:

Artificial intelligence vehicle license plate recognition traffic monitoring.
Thông tin tác giả
Nguyễn Văn Tuân

Nguyễn Văn Tuân

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