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» How to Improve a Handwriting Recognition System
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ICDAR
2009
IEEE
14 years 2 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
ICDAR
2005
IEEE
14 years 1 months ago
Recognition for Large Sets of Handwritten Mathematical Symbols
Natural and convenient mathematical handwriting recognition requires recognizers for large sets of handwritten symbols. This paper presents a recognition system for such handwritt...
Stephen M. Watt, Xiaofang Xie
ICDAR
2007
IEEE
14 years 1 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin
ICDAR
2009
IEEE
13 years 5 months ago
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
Yongqiang Wang, Qiang Huo
ICDAR
2009
IEEE
14 years 2 months ago
Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
We propose a new algorithm for segmentation of off-line handwritten Arabic words. The algorithm segments the connected letters to smaller segments each of which contains no more t...
Safwan Wshah, Zhixin Shi, Venu Govindaraju