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» Co-training for Handwritten Word Recognition
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ICDAR
2003
IEEE
14 years 1 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...
IJCAI
1993
13 years 9 months ago
Incorporating Syntactic Constraints in Recognizing Handwritten Sentences
The output of handwritten word recognizers (HWR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the HWR must be initi...
Rohini K. Srihari, Charlotte M. Baltus
ICDAR
2005
IEEE
14 years 1 months ago
Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database
Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recogni...
Marcus Liwicki, Horst Bunke
ICPR
2000
IEEE
14 years 8 months ago
Accuracy Improvement of Slant Estimation for Handwritten Words
Handwritten words are usually slant or Italicized due to the mechanism of handwriting and the personality. In order to improve the accuracy of character segmentation and recogniti...
Yimei Ding, Fumitaka Kimura, Yasuji Miyake, Malaya...
ICDAR
2003
IEEE
14 years 1 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies