DocumentCode :
627254
Title :
An improved method for 7-segment numeric character recognition
Author :
Hasan, Md Maodudul ; Rahaman, Arifur ; Maswood, Mirza Md Shahriar ; Rahman, Md Mamunur
Author_Institution :
Dept. of Electron. & Commun. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear :
2013
fDate :
17-18 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
Text information recognition is very important because of its vast application. Also for the digitalized system, now a day´s in many applications numeric characters are represented in a digital manner i.e 7-segment representation. And recognition of the digital numerical character is getting more popularity day by day. In this paper we proposed a new method for recognizing the 7-segment numeric character. For this purpose we take each segment as a video frame input by web-cam using a red colored object. And then we apply our proposed algorithm which works into three steps: 1) detecting the red color from a frame and finding the frame either it is a row frame or column frame 2) applying a process called numeric character grouping which is done to set the frames into a certain category 3) and then according to the position of row and column of the segment or number of row and column of the segment, a particular numeric character is recognized. The results of the experiments are very promising. In our proposed method, if the frames can take properly then the recognition rate is 100%.
Keywords :
character recognition; image colour analysis; object detection; video signal processing; 7-segment numeric character recognition; Web-cam; column frame; digitalized system; numeric character grouping; red color detection; red colored object; row frame; text information recognition; video frame; Character recognition; Educational institutions; Handwriting recognition; Image color analysis; Image recognition; Image segmentation; Licenses; 7-segment numeric character; character recognition; color detection; numeric character grouping; row frame and column frame;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-0397-9
Type :
conf
DOI :
10.1109/ICIEV.2013.6572607
Filename :
6572607
Link To Document :
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