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ICDAR
2009
IEEE
14 years 1 days ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
ICDAR
2009
IEEE
13 years 3 months ago
Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting
In this paper, we introduce an on-line Arabic handwritten recognition system based on new stroke segmentation algorithm. The proposed algorithm uses an over segmentation method th...
Khaled Daifallah, Nizar Zarka, Hassan Jamous
ICPR
2006
IEEE
14 years 6 months ago
Word Extraction from On-Line Handwritten Text Lines
In this paper we investigate the word extraction task in on-line recognition of cursively handwritten text lines. For the segmentation we propose a method which is based on the as...
Marcus Liwicki, Mathias Scherz, Horst Bunke
ICDAR
2009
IEEE
14 years 1 days ago
Arabic Handwriting Recognition Using Restored Stroke Chronology
In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. For this task ...
Abdelkarim Elbaati, Houcine Boubaker, Monji Kheral...
ICDAR
2003
IEEE
13 years 10 months ago
On Machine Understanding of Online Handwritten Mathematical Expressions
This paper aims at automatic recognition of online handwritten mathematical expressions written on an electronic tablet. The proposed technique involves two major stages: symbol r...
Utpal Garain, B. B. Chaudhuri