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» Word Segmentation and Recognition for Web Document Framework
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CIKM
1999
Springer
13 years 9 months ago
Word Segmentation and Recognition for Web Document Framework
It is observed that a better approach to Web information understanding is to base on its document framework, which is mainly consisted of (i) the title and the URL name of the pag...
Chi-Hung Chi, Chen Ding, Andrew Lim
ICDAR
2009
IEEE
13 years 2 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
ICIP
2001
IEEE
14 years 6 months ago
Word shape recognition for image-based document retrieval
In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images are segmented at the word level first. Then the proposed method det...
Weihua Huang, Chew Lim Tan, Sam Yuan Sung, Yi Xu
ICDAR
2007
IEEE
13 years 11 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
ICDAR
2009
IEEE
13 years 2 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...