In this paper we propose a hypothetical scheme for recognizing the alphanumerics. The scheme is based on the known physiological structure of the visual cortex and the concept of a short Lino extractor nouron (SLEN). We assumo four basic typca of such units for extracting vertical, horizontal, right and left inclined straight line segments. The patterns reconstructed from the scheme show perfect agreement with the test patterns. The model indicates that the recognition of letters T and H requires extraction of the largest number of features
International audienceHandwritten digits recognition has been widely studied because of its potentia...
An optical character recognition system was developed using the Lexiphone, a direct-translation read...
This thesis is about using neural networks in recognition of letters A to Z and numbers 0 to 9. In t...
Abstract. We propose an approach dedicated to recognize characters from binary images by an hybrid s...
International audienceWe propose an approach dedicated to recognize characters from binary images by...
Several methods to study the recognition and similarity of alphanumeric characters are briefly discu...
Letter recognition is the foundation of the human reading system. Despite this, it tends to receive ...
We propose a combined character separation and recognition approach for low-resolution images of alp...
This thesis presents the design of a recognizer for unconstrained handprinted alphanumeric character...
The wide range of shape variations for handwritten digits requires an adequate representation of the...
due to the magnitude of the neural network science and MATLAB in terms of tools and algorithms, we w...
Abstract. A method to separate and recognize the touching/overlapping alpha-numeric characters is pr...
AbstractLetter recognition is the foundation of the human reading system. Despite this, it tends to ...
A novel system for recognition of handprinted alphanumeric characters has been developed and tested....
In this paper we present an off line system for the recognition of the handwritten numeric chains. O...
International audienceHandwritten digits recognition has been widely studied because of its potentia...
An optical character recognition system was developed using the Lexiphone, a direct-translation read...
This thesis is about using neural networks in recognition of letters A to Z and numbers 0 to 9. In t...
Abstract. We propose an approach dedicated to recognize characters from binary images by an hybrid s...
International audienceWe propose an approach dedicated to recognize characters from binary images by...
Several methods to study the recognition and similarity of alphanumeric characters are briefly discu...
Letter recognition is the foundation of the human reading system. Despite this, it tends to receive ...
We propose a combined character separation and recognition approach for low-resolution images of alp...
This thesis presents the design of a recognizer for unconstrained handprinted alphanumeric character...
The wide range of shape variations for handwritten digits requires an adequate representation of the...
due to the magnitude of the neural network science and MATLAB in terms of tools and algorithms, we w...
Abstract. A method to separate and recognize the touching/overlapping alpha-numeric characters is pr...
AbstractLetter recognition is the foundation of the human reading system. Despite this, it tends to ...
A novel system for recognition of handprinted alphanumeric characters has been developed and tested....
In this paper we present an off line system for the recognition of the handwritten numeric chains. O...
International audienceHandwritten digits recognition has been widely studied because of its potentia...
An optical character recognition system was developed using the Lexiphone, a direct-translation read...
This thesis is about using neural networks in recognition of letters A to Z and numbers 0 to 9. In t...