Title :
Graph matching method for character recognition in natural scene images: A study of character recognition in natural scene image considering visual impairments
Author :
Kim, Jieun ; Yoon, Ho-Sub
Author_Institution :
Dept. of Comput. Software & Eng., Univ. of Sci. & Technol., Daejeon, South Korea
Abstract :
In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.
Keywords :
character recognition; feature extraction; image matching; character recognition system; feature extraction method; graph matching method; image position relation; image structural relation; natural scene image; visual impairment; Character recognition; Databases; Feature extraction; Licenses; Pixel; Robustness; Training; graph match; robust feature; various fonts;
Conference_Titel :
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Conference_Location :
Poprad
Print_ISBN :
978-1-4244-8954-1
DOI :
10.1109/INES.2011.5954771
