Automatic license plate recognition using mobile device

The rapid development of intelligent transport systems (ITS) brings us a safer and more convenient life. In this field, automatic license plate recognition (ALPR) plays an important role in many applications which have been deployed in reality such as stolen car detection, parking system management, and automatic transport charging system. The traditional ALPR methods usually need a high resolution camera to capture good quality images and a powerful computer to process the complex algorithms. However, with many great scientific breakthroughs in mobile device technology, we can easily buy smartphone/tablet which equipped strong central processing unit (CPU) and excellent camera to meet the requirements of ALPR. In this paper, we develop an Android program which processes the image captured by built-in camera of mobile device to have license plate number and save it into database for further applications. Open-source OpenCV libraries are imported into project for some image processing steps with purpose of programming time saving. We apply Tesseract engine and neural network which are two optical character recognition (OCR) methods to convert license plate image to machine-encoded text.

Title: 

	Automatic license plate recognition using mobile device
Authors:	Do, H.N. Vo, M.-T. Vuong, B.Q., (...) Nguyen, A.H. Luong, H.Q.
Keywords:	ALPR Android ITS Neural network OCR Smartphone Tesseract
Issue Date:	2016
Publisher:	IEEE Computer Society
Citation:	Scopus
Abstract:	The rapid development of intelligent transport systems (ITS) brings us a safer and more convenient life. In this field, automatic license plate recognition (ALPR) plays an important role in many applications which have been deployed in reality such as stolen car detection, parking system management, and automatic transport charging system. The traditional ALPR methods usually need a high resolution camera to capture good quality images and a powerful computer to process the complex algorithms. However, with many great scientific breakthroughs in mobile device technology, we can easily buy smartphone/tablet which equipped strong central processing unit (CPU) and excellent camera to meet the requirements of ALPR. In this paper, we develop an Android program which processes the image captured by built-in camera of mobile device to have license plate number and save it into database for further applications. Open-source OpenCV libraries are imported into project for some image processing steps with purpose of programming time saving. We apply Tesseract engine and neural network which are two optical character recognition (OCR) methods to convert license plate image to machine-encoded text.
Description:	International Conference on Advanced Technologies for Communications 1 December 2016, Article number 7764786, Pages 268-271
URI:	http://ieeexplore.ieee.org/document/7764786/ http://repository.vnu.edu.vn/handle/VNU_123/32528
ISSN:	21621039
Appears in Collections:	Bài báo của ĐHQGHN trong Scopus