Title :
Image recognize based on hierarchical SVC
Author :
Tu, Fuquan ; Chen, Kuisheng
Author_Institution :
Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan
Abstract :
This paper presents a kind of hierarchical support vector classifier (SVC) recognition system for the billet character recognition problem. The recognition system included extract key frames of the video, billet region location, image preprocess, character region segmentation and recognition approach. The results obtained from a database of 1500 images for train and test the character recognizer. The correct rates of the digit and the letter recognition are 99.9% and 99.2%.
Keywords :
character recognition; image recognition; image segmentation; support vector machines; billet character recognition; billet region location; character region segmentation; image recognition; support vector classifier; Automation; Billets; Character recognition; Clustering algorithms; Educational institutions; Image recognition; Machinery; Space technology; Static VAr compensators; Steel; HSI space; SVC; billet character; region location;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593021
