NDLI: UIT-ANPR: toward an open framework for automatic number plate recognition on smartphones

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UIT-ANPR: toward an open framework for automatic number plate recognition on smartphones

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UIT-ANPR: toward an open framework for automatic number plate recognition on smartphones

Content Provider	ACM Digital Library
Author	Nguyen, Don Nguyen, Phu Nguyen, Tuan
Abstract	The automatic number-plate recognition (ANPR) problem is attracting attention of many research scientists. However, there are not many researches focusing on building an ANPR system for smart-phones to recognize the motorcycles number plate dynamically on the street. In addition, the mobility and sensor rich of mobile device has not been much exploited. This paper introduces an innovative approach for building an ANPR software on Android smart-phones using neural network which can be applied to the mobile sensing to support intelligent traffic monitoring. Our approach is divided into two main parts: i) building an ANPR software on mobile phone using OpenCV and neural network; ii) evaluating the software on real traffic. The ANPR development includes three main steps: using AdaBoots classification method to locate the area which contains the number plate, applying morphology method to separate characters within the number plate, and using neural network for characters recognition. For evaluation the software, we take the location and speed of recognized number plate into account. This evaluation raises some research challenges in the area of building mobile ANPR software.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781450326445
DOI	10.1145/2557977.2558037
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-01-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Neuron network Uit anpr Ocr Mobile ocr
Content Type	Text
Resource Type	Article

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