DocumentCode
2144353
Title
AdaBoost for Text Detection in Natural Scene
Author
Lee, Jung-Jin ; Lee, Pyoung-Hean ; Lee, Seong-Whan ; Yuille, Alan ; Koch, Christof
Author_Institution
Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea
fYear
2011
fDate
18-21 Sept. 2011
Firstpage
429
Lastpage
434
Abstract
Detecting text regions in natural scenes is an important part of computer vision. We propose a novel text detection algorithm that extracts six different classes features of text, and uses Modest AdaBoost with multi-scale sequential search. Experiments show that our algorithm can detect text regions with a f= 0.70, from the ICDAR 2003 datasets which include images with text of various fonts, sizes, colors, alphabets and scripts.
Keywords
character recognition; learning (artificial intelligence); object detection; search problems; Modest AdaBoost; computer vision; multiscale sequential search; natural scene; text detection algorithm; text images; Algorithm design and analysis; Energy measurement; Feature extraction; Histograms; Image color analysis; Image edge detection; Optimization; AdaBoost; text detection; text location;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location
Beijing
ISSN
1520-5363
Print_ISBN
978-1-4577-1350-7
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2011.93
Filename
6065348
Link To Document