In this paper we propose a neural-network-based approach to solving optical symbol recognition problems, from node head recognition to handwritten digit ...
In this paper we propose a neural-network-based approach to solving optical symbol recognition problems, from node head recognition to handwritten digit ...
In this paper we propose a neural-network-based approach to solving optical symbol recognition problems, from node head recognition to handwritten digit ...
This paper focuses on the use of neural network in order to mitigate the problems of digital handwriting recognition by using Self-Organizing Map model.
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The concept of learning in neural networks is utilized to a large extent in developing an OCR system to recognize characters of various fonts and sizes, and ...
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Objective of this paper is to recognize character in this characters in a given scanned documents and study the effects of changing the Models of ANN. The ...
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The approach taken to solve the OCR problem was based on psychology of the characters as perceived by the humans. Thus the geometrical features of a character ...
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Oct 22, 2024 · This paper investigates a method of Handwritten English Character Recognition using Artificial Neural Network (ANN). This work has been done ...
Abstract- In this paper, an attempt is made to develop off-line recognition strategies for the isolated Handwritten English character(A to Z) and. (0 to 9).
The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks. In this paper, a simplified neural approach ...
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