A PROPOSED METHOD OF LICENSE PLATE DETECTION AND RECOGNITION FOR PORTABLE DEVICES

Nguyen Tien Dung

Nguyen Tien Dung Hung Yen University of Technology and Education

Keywords: License Plate Recognition, Deep learning, Convolutional Neural Network

Abstract

In this paper, we describe a new method of License Plate Recognition where LP in different conditions due to the protability of the handset. In this situations, the LP might be considerably distorted due to oblique views. The proposed algorithms applied to locate the car license plate include YOLO platfom to indentify License Plate area, and modified location license plate algorithms for improvement car license plate detection result using Tesseract Optical Character Recognition (OCR) method to obtain the final result. In addition, we also used Jetson TX2 system with 256 NVDIA CUDA core and suitable for handheld decives. Our proposed approach obtained better results for removing noise and locating characters in the plate. The promising experimental results demonstrated that our proposed method is efficient and stable enough for problem identification car license plate.

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