An approach to integration of off-line and on-line recognition of handwriting
Pattern Recognition Letters
Optical character recognition
Sentence recognition using artificial neural networks
Knowledge-Based Systems
E-learning systems with artificial intelligence in engineering
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Intelligent system for natural language processing
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Intelligent system for automatic recognition and evaluation of speech commands
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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We propose a new method for natural writing recognition that utilizes geometric features of letters. The paper deals with recognition of isolated handwritten characters using an artificial neural network. As a result of the geometrical analysis realized, graphical representations of recognized characters are obtained in the form of pattern descriptions of isolated characters. The radius measurements of the characters obtained are inputs to the neural network for natural writing recognition which is font independent. In this paper, we present a new method for off-line natural writing recognition and also describe our research and tests performed on the neural network.