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» Co-training for Handwritten Word Recognition
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ICDAR
2003
IEEE
14 years 1 months ago
Handwritten Word Recognition based on Structural Characteristics and Lexical Support
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are...
Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos F...
ICDAR
2009
IEEE
13 years 5 months ago
Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition
This paper presents a system to recognize online handwritten Gurmukhi words. We have proposed a new step as rearrangement of recognized strokes in online handwriting recognition p...
Anuj Sharma, Rajesh Kumar, R. K. Sharma
ICDAR
1995
IEEE
13 years 11 months ago
Handwritten word recognition for real-time applications
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
Gyeonghwan Kim, Venu Govindaraju
ICPR
2008
IEEE
14 years 2 months ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
DRR
2008
13 years 9 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