DocumentCode
2477258
Title
Image recognize based on hierarchical SVC
Author
Tu, Fuquan ; Chen, Kuisheng
Author_Institution
Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan
fYear
2008
fDate
25-27 June 2008
Firstpage
781
Lastpage
784
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WCICA.2008.4593021
Filename
4593021
Link To Document