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PRICAI
2000
Springer
13 years 9 months ago
Text Retrieval from Document Images based on N-Gram Algorithm
In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of us...
Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu
MVA
1990
101views Computer Vision» more  MVA 1990»
13 years 7 months ago
A Segmentation Free Approach to Symbol Extraction and Recognition from Image Document
: We present a symbol recognition method without segmentation of the document. Our approach uses Zernike moments for the coding and a multilayered Perceptron for the classifier. Re...
Maurice Milgram, Mattieu Jobert, Bertrand Lamy
ICIP
2007
IEEE
14 years 7 months ago
Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding
In this paper we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e. composed of text, graphics and pictures. Even though mixed contents (compound) docu...
Alexandre Zaghetto, Ricardo L. de Queiroz
ICDAR
2009
IEEE
14 years 15 days ago
Keyword Spotting in Document Images through Word Shape Coding
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
Shuyong Bai, Linlin Li, Chew Lim Tan
ICDAR
1997
IEEE
13 years 10 months ago
Document image similarity and equivalence detection
A hierarchical algorithm is presented for determining the similarity and equivalence of document images. Features extracted from the CCIIT fax-compressed representations of two im...
Jonathan J. Hull, John F. Cullen