Results 211 to 220 of about 5,213 (261)
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1996
Recognition of handwritten text by computer can significantly reduce the cost of manual key entry in applications such as bank check processing, postal mail routing, census and poll form capture, medical documents, and many others. In this review, I will describe the structure and performance of a handwriting recognition system.
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Recognition of handwritten text by computer can significantly reduce the cost of manual key entry in applications such as bank check processing, postal mail routing, census and poll form capture, medical documents, and many others. In this review, I will describe the structure and performance of a handwriting recognition system.
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A Structure for Adaptive Handwriting Recognition
2012 International Conference on Frontiers in Handwriting Recognition, 2012We present an adaptive approach to the recognition of handwritten mathematical symbols, in which a recognition weight is associated with each training sample. The weight is computed from the distance to a test character in the space of coefficients of functional approximation of symbols.
Vadim Mazalov, Stephen M. Watt
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A handwriting recognition system for the classroom
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015The Xerox Ignite™ Educator Support System (henceforth referred to simply as Ignite™) is a data collection, analysis, and visualization workflow and software solution to assist K-12 educators. To illustrate, suppose a third-grade teacher wants to know how well her class has grasped a lesson on fractions.
Eric Gross +3 more
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Online handwriting recognition-a survey
[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003The state of the art of online handwriting recognition is surveyed based on an extensive review of the literature. Shape recognition algorithms, preprocessing and postprocessing techniques, experimental systems, and commercial products are examined. It is found that online recognizers, except for bar-code readers and other specialized equipment, are ...
Charles C. Tappert +2 more
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Handwriting recognition-the last frontiers
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002The last frontiers of handwriting recognition are considered to have started in the last decade of the second millennium. The paper summarizes (a) the nature of the problem of handwriting recognition, (b) the state of the art of handwriting recognition at the turn of the new millennium, and (c) the results of CENPARMI researchers in automatic ...
Ching Y. Suen +4 more
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On-line handwriting recognition.
1999Item does not contain ...
Plamondon, R. +3 more
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Numerical recognition of unconstrained handwriting
IEEE International Conference on Acoustics Speech and Signal Processing, 2002This paper investigates the collaboration of three numeral recognition techniques that will detect unconstrained handwritten numerals. Our research focuses on a feature-based approach, a method using eigenimages, and a structural analysis approach using wavelet transforms.
Somit Shah Mathur +4 more
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Advances in handwriting recognition
International Journal on Document Analysis and Recognition (IJDAR), 2022Utkarsh Porwal +2 more
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Word Warping for Offline Handwriting Recognition
2011 International Conference on Document Analysis and Recognition, 2011We present a novel method of offline whole-word handwriting recognition. We use automatic image morphing to compute 2-D geometric warps that align the strokes of each word image with the strokes of word images of training examples. Once the strokes of a given word are aligned to a training example, we use distance maps to compare how similar the two ...
KENNARD DOUGLAS J +2 more
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Gesture Recognition Techniques in Handwriting Recognition Application
2010 12th International Conference on Frontiers in Handwriting Recognition, 2010Handwriting-gesture recognition has been widely implemented in handwriting input application. Usually, gestures are used to conduct edit operations or be set as short-cut of an application. In this paper, we compare several handwriting-gesture recognition methods, and address their different user cases. These methods include pixel-matching method, rule
Fengjun Guo, Shijie Chen
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