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» Analysis of Handwriting Individuality Using Word Features
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ICDAR
2009
IEEE
14 years 1 months ago
Hierarchical On-line Arabic Handwriting Recognition
In this paper, we present a multi-level recognizer for online Arabic handwriting. In Arabic script (handwritten and printed), cursive writing – is not a style – it is an inher...
Raid Saabni, Jihad El-Sana
ICDAR
2011
IEEE
12 years 5 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
ICDAR
2009
IEEE
13 years 4 months ago
Combining Multiple HMMs Using On-line and Off-line Features for Off-line Arabic Handwriting Recognition
This paper presents an off-line Arabic Handwriting recognition system based on the selection of different state of the art features and the combination of multiple Hidden Markov M...
Mahdi Hamdani, Haikal El Abed, Monji Kherallah, Ad...
ICDAR
2003
IEEE
13 years 11 months ago
A Contour Code Feature Based Segmentation For Handwriting Recognition
The purpose of this paper is to present a novel contour code feature in conjunction with a rule based segmentation for cursive handwriting recognition. A heuristic segmentation al...
Brijesh Verma
DRR
2008
13 years 7 months ago
Word segmentation of off-line handwritten documents
Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system. This paper describes an approach to separate a line of uncons...
Chen Huang, Sargur N. Srihari