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ICDAR
2003
IEEE
15 years 12 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 12 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 12 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 12 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 12 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...