Paper Info
Title
UIT-ANPR: toward an open framework for automatic number plate recognition on smartphones
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.
Year
DOI
Venue
2014
10.1145/2557977.2558037
ICUIMC
Keywords
Field
DocType
anpr development,neural network,adaboots classification method,anpr software,number plate,mobile device,mobile phone,automatic number plate recognition,mobile anpr software,anpr system,open framework,motorcycles number plate dynamically
Mobile sensing,Android (operating system),Computer science,Open framework,Real-time computing,Mobile device,Software,Mobile phone,Artificial neural network
Conference
Citations 
PageRank 
References 
2
0.42
10
Authors
3
Name
Order
Citations
PageRank
Tuan Nguyen120.76
Don Nguyen220.42
Phu Nguyen370.91