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ICDAR
2009
IEEE
13 years 5 months ago
Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System
Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is...
Murilo Santos, Albert Hung-Ren Ko, Luiz S. Oliveir...
ICDAR
2009
IEEE
13 years 5 months ago
HMM-Based Online Recognition of Handwritten Chemical Symbols
In this paper, we present an online handwritten recognition method for Chemical Symbols, a widely used symbol in education and academic interactions. This method is based on Hidde...
Yang Zhang, Guangshun Shi, Jufeng Yang
ICPR
2002
IEEE
14 years 8 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
ICDAR
2005
IEEE
14 years 1 months ago
Fast Convolutional OCR with the Scanning N-Tuple Grid
This paper introduces a novel high speed convolutional character recognition system. Convolutional mode operation means that no prior localization or segmentation of characters is...
Simon M. Lucas, Kyu Tae Cho
ICDAR
2005
IEEE
14 years 1 months ago
Prototype Learning Methods for Online Handwriting Recognition
In this paper, we study different methods for prototype selection for recognizing handwritten characters of Tamil script. In the first method, cumulative pairwise- distances of th...
B. S. Raghavendra, C. K. Narayanan, G. Sita, A. G....