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ICDAR
2003
IEEE
15 years 9 months ago
Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling ...
Kyung-Won Kang, Jin Hyung Kim
ICDAR
2003
IEEE
15 years 9 months ago
Handwritten Word Recognition based on Structural Characteristics and Lexical Support
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are...
Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos F...
ICDAR
2003
IEEE
15 years 9 months ago
A Character Recognizer for Turkish Language
This paper presents particularly a contextual post processing subsystem for a Turkish machine printed character recognition system. The contextual post processing subsystem is bas...
Sait Ulas Korkmaz, G. Kirçiçegi, Y. ...
ICDAR
2003
IEEE
15 years 9 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
ICDAR
2003
IEEE
15 years 9 months ago
Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Su...