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On Recognition of Handwritten Bangla Characters
2006Recently, a few works on recognition of handwritten Bangla characters have been reported in the literature. However, there is scope for further research in this area. In the present article, results of our recent study on recognition of handwritten Bangla basic characters will be reported.
Ujjwal Bhattacharya +2 more
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On-line recognition of handwritten Arabic characters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990Arabic characters are always in cursive script. Handwritten words were entered into an IBM PC via a graphics tablet and a segmentation process applied to the points; the length and the slope of each segment was then found, and the slope categorized into one of four directions. In the learning process, specifications on the strokes of each character are
Samir Al-Emami, Mike Usher
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A combined method on the handwritten character recognition
Proceedings of 3rd International Conference on Document Analysis and Recognition, 2002Character recognition can be classified into on-line and off-line schemes. Although each scheme uses geometric features of characters for recognition, it is difficult to merge the two since they use different data inputs. The on-line character recognition schemes use strokes as input.
Moon Jeung Joe, Huen Joo Lee
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A new algorithm for handwritten character recognition
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002A new algorithm of handwritten character recognition based on feedback theory is proposed. We suggest this new method by adding confidence back-propagation and input modification on the neural network model, thus preprocessing and recognition are integrated closely. Convergence of the algorithm is proved.
Xiaoyan Zhu, Yifan Shi
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Holistic recognition of handwritten character pairs
Pattern Recognition, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xian Wang +2 more
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Online handwritten character recognition for Malayalam
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology, 2012Handwritten character recognition is conversion of handwritten text to machine readable and editable form. Online character recognition deals with live conversion of characters. Malayalam is a language spoken by millions of people in the state of Kerala and the union territories of Lakshadweep and Pondicherry.
Amritha Sampath, C. Tripti, V. Govindaru
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Recognition of handwritten cursive Arabic characters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994An automatic off-line character recognition system for handwritten cursive Arabic characters is presented. A robust noise-independent algorithm is developed that yields skeletons that reflect the structural relationships of the character components. The character skeleton is converted to a tree structure suitable for recognition.
Abuhaiba, S. +2 more
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Neural based handwritten character recognition
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999The paper explores the existing ring based method (W.I. Reber, 1987), the new sector based method and the combination of these, termed the Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric rings in the case of the ...
Madasu Hanmandlu +2 more
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Handwritten alphanumeric character recognition by the neocognitron
IEEE Transactions on Neural Networks, 1991A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters.
Kunihiko Fukushima, Nobuaki Wake
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Part-Based Recognition of Handwritten Characters
2010 12th International Conference on Frontiers in Handwriting Recognition, 2010In the part-based recognition method proposed in this paper, a handwritten character image is represented by just a set of local parts. Then, each local part of the input pattern is recognized by a nearest-neighbor classifier. Finally, the category of the input pattern is determined by aggregating the local recognition results. This approach is opposed
Seiichi Uchida, Marcus Liwicki
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