This thesis describes problems of character recognition in digital picture and how to solve those problems using artificial neural networks, computer vision and statistical moments. Further it describes design of this network and implementation of solutions in C++ programing language
Abstract — Character recognition is one of the most fascinating and challenging researches currently...
Optical Character Recognition (OCR) is the process of extracting the characters from a digital image...
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatica...
Artificial Neural Systems, or simply Neural Networks (NN), a technology which deals with the simulat...
The thesis is concerned with optical character recognition from image data with different methods us...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
This thesis focuses on a problem of character recognition from real scenes, which has earned signifi...
XXI century is the age of global automation and digitization. There is high demand for optical recog...
Artificial Neural Net Models have been studied for many years in hope of achieving human-like perfor...
This paper describes problems of text recognition in picture. Discuss successes, advatages and disad...
Images contain different sorts of helpful data that ought to be removed at whatever point required a...
This work focuses on the theory of artificial neural networks: the history, individual ways of learn...
This paper devoted the character recognition.The process of neural networks modeling for pattern rec...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratori...
Abstract — Character recognition is one of the most fascinating and challenging researches currently...
Optical Character Recognition (OCR) is the process of extracting the characters from a digital image...
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatica...
Artificial Neural Systems, or simply Neural Networks (NN), a technology which deals with the simulat...
The thesis is concerned with optical character recognition from image data with different methods us...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
This thesis focuses on a problem of character recognition from real scenes, which has earned signifi...
XXI century is the age of global automation and digitization. There is high demand for optical recog...
Artificial Neural Net Models have been studied for many years in hope of achieving human-like perfor...
This paper describes problems of text recognition in picture. Discuss successes, advatages and disad...
Images contain different sorts of helpful data that ought to be removed at whatever point required a...
This work focuses on the theory of artificial neural networks: the history, individual ways of learn...
This paper devoted the character recognition.The process of neural networks modeling for pattern rec...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratori...
Abstract — Character recognition is one of the most fascinating and challenging researches currently...
Optical Character Recognition (OCR) is the process of extracting the characters from a digital image...
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatica...