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SSPR
2004
Springer
15 years 3 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
ICDAR
2009
IEEE
15 years 4 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICDAR
2003
IEEE
15 years 2 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
DMS
2008
201views Multimedia» more  DMS 2008»
14 years 11 months ago
A Geometric-based Sketch Recognition Approach for Handwritten Mandarin Phonetic Symbols I
Inputting written Chinese, unlike written English, is a non-trivial operation using a standard keyboard. To accommodate this operation, numerous existing phonetic systems using th...
Paul Taele, Tracy Anne Hammond
ICPR
2008
IEEE
15 years 4 months ago
A feature selection algorithm for handwritten character recognition
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
Luigi P. Cordella, Claudio De Stefano, Francesco F...