DocumentCode
1742148
Title
Image-based document vectors for text retrieval
Author
Yu, Zhaohui ; Tan, Chew Lim
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore
Volume
4
fYear
2000
fDate
2000
Firstpage
393
Abstract
We propose a method for constructing a vector for a document image to represent its content to facilitate text retrieval. The method is based on an N-Gram algorithm for text similarity measure based on the frequency of occurrence of n-character strings appearing in the electronic text. Instead of using ASCII values, the present study investigates the use of character images to obtain the document vector and has found promising results for use in our news article retrieval project
Keywords
document image processing; information retrieval; string matching; vectors; N-Gram algorithm; character images; character strings; image representation; image-based document vectors; news article retrieval project; text retrieval; text similarity measure; vector construction; Character recognition; Content based retrieval; Feature extraction; Image recognition; Image retrieval; Performance analysis; Position measurement; Shape; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.902941
Filename
902941
Link To Document