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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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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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Applying Context to Handwritten Character Recognition
2019Attempts to automate handwritten character recognition date back to the 1960s, but progress over the past two decades shows extremely accurate recognition of printed characters in English. The most common approaches used today apply a form of machine learning such as support vector machines (SVM) or neural networks.
Richard Fox, Steven Brownfield
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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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Recognition of Handwritten Characters
1991In this chapter, we will use a neural network pattern matcher to recognize handwritten characters. We will discuss required preprocessing of input data, present the sample program, show sample program output, and compare the neural network approach to a more conventional software approach to solving this problem.
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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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