DocumentCode
1278065
Title
Textfinder: an automatic system to detect and recognize text in images
Author
Wu, Victor ; Manmatha, Raghavan ; Riseman, Edward M.
Author_Institution
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
Volume
21
Issue
11
fYear
1999
fDate
11/1/1999 12:00:00 AM
Firstpage
1224
Lastpage
1229
Abstract
A robust system is proposed to automatically detect and extract text in images from different sources, including video, newspapers, advertisements, stock certificates, photographs, and checks. Text is first detected using multiscale texture segmentation and spatial cohesion constraints, then cleaned up and extracted using a histogram-based binarization algorithm. An automatic performance evaluation scheme is also proposed
Keywords
document image processing; image segmentation; image texture; Textfinder; advertisements; checks; cheques; histogram-based binarization algorithm; images; multiscale texture segmentation; newspapers; photographs; spatial cohesion constraints; stock certificates; text detection; text extraction; text recognition; video; Character recognition; Data mining; Image recognition; Image segmentation; Image storage; Neural networks; Optical character recognition software; Optical filters; Strontium; Text recognition;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.809116
Filename
809116
Link To Document