A new algorithm for license plate localization in open environment using color pair and stroke width features of character

2013 ◽  
Author(s):  
Jiangmin Tian ◽  
Ran Wang ◽  
Guoyou Wang ◽  
Fangbin Yang
Keyword(s):  
License Plate ◽  
Open Environment ◽  
Stroke Width ◽  
Color Pair

scholarly journals A Fast and Noise Tolerable Binarization Method for Automatic License Plate Recognition in the Open Environment in Taiwan

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1374
Author(s):  
Chun-Cheng Peng ◽  
Cheng-Jung Tsai ◽  
Ting-Yi Chang ◽  
Jen-Yuan Yeh ◽  
Hsun Dai ◽  
...  
Keyword(s):  
Recognition Rate ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition ◽  
Similar Time ◽  
Open Environment ◽  
Symmetry Principles ◽  
Otsu Method ◽  
Luminance Effect ◽  
Binarization Method

License plate recognition is widely used in our daily life. Image binarization, which is a process to convert an image to white and black, is an important step of license plate recognition. Among the proposed binarization methods, Otsu method is the most famous and commonly used one in a license plate recognition system since it is the fastest and can reach a comparable recognition accuracy. The main disadvantage of Otsu method is that it is sensitive to luminance effect and noise, and this property is impractical since most vehicle images are captured in an open environment. In this paper, we propose a system to improve the performance of automatic license plates reorganization in the open environment in Taiwan. Our system uses a binarization method which is inspired by the symmetry principles. Experimental results showed that when our method has a similar time complexity to that of Otsu, our method can improve the recognition rate up to 1.30 times better than Otsu.

License plate detection in an open environment by density-based boundary clustering

2017 ◽  
Vol 26 (3) ◽  
pp. 033017 ◽  
Author(s):  
Jiangmin Tian ◽  
Guoyou Wang ◽  
Jianguo Liu ◽  
Yuanchun Xia
Keyword(s):  
License Plate ◽  
Open Environment ◽  
License Plate Detection

Use of ontological analysis for competence evaluation of scientists in a particular subject domain

2016 ◽  
pp. 081-096
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Scientific Activity ◽  
Subject Domain ◽  
Semantic Matching ◽  
Research Project ◽  
Open Environment ◽  
Competence Evaluation ◽  
The Subject ◽  
Ontological Analysis ◽  
Use Of Knowledge ◽  
The Web

Objective methods for competence evaluating of scientists in the subject domain pertinent to the specific scientific product – research project, publication, etc. are proposed. These methods are based on the semantic matching of the description of scientific product and documents that confirm the competence of its authors or experts in the domain of this product. In addition, the use of knowledge acquired from the Web open environment – Wiki-resources, scientometric databases, organization official website, domain ontologies is proposed. Specialized ontology of scientific activity which allows to standardize the terminological base for describing the qualifications of researchers is developed.

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