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» Handwritten Word Recognition Using Multi-view Analysis
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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
2003
IEEE
13 years 11 months ago
Handwriting Recognition Using Position Sensitive Letter N-Gram Matching
We propose further improvement of a handwriting recognition method that avoids segmentation while able to recognize words that were never seen before in handwritten form. This met...
Adnan El-Nasan, Sriharsha Veeramachaneni, George N...
ICDAR
2003
IEEE
13 years 11 months ago
Analysis of Handwriting Individuality Using Word Features
Analysis of allographs (characters) and allograph combinations (words) is the key for obtaining the discriminating elements of handwriting. While allographs usually inhabit in wor...
Bin Zhang, Sargur N. Srihari
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
ICPR
2004
IEEE
14 years 7 months ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari