Character recognition, a digitization concept, is an important research area in the field of image processing, and pattern recognition. Optical character recognition is a method of digitizing printed texts so that they can be searched electronically, stored compactly and used in machine processes such as text-to-speech, and machine translation. This paper describes the techniques for converting a type or handwritten document into machine readable form using BackPropagation Artificial Neural Networks
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
A neural network is a machine designed to model the way in which the brain performs a particular tas...
XXI century is the age of global automation and digitization. There is high demand for optical recog...
Abstract-This paper examines the use of neural networks to accomplish optical character recognition....
In todays’ world advancement in sophisticated scientific techniques is pushing further the limits of...
Optical Character Recognition (OCR) is the process of extracting the characters from a digital image...
Recognizing handwritten characters, the accuracy of the optical character recognition is usually not...
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatica...
In this paper, an attempt is made to develop off-line recognition strategies for the isolated Handwr...
A letter is a means of communicationto convey information in writing by one party tothe other party....
A proven strength of neural-network methods is their application to character recognition and docume...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
Abstract- OCR itself is currently translating images handwritten typewritten or printed text into a ...
Digital documents from the scanner device cannot be edited. To be able to edit digital documents, Op...
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
A neural network is a machine designed to model the way in which the brain performs a particular tas...
XXI century is the age of global automation and digitization. There is high demand for optical recog...
Abstract-This paper examines the use of neural networks to accomplish optical character recognition....
In todays’ world advancement in sophisticated scientific techniques is pushing further the limits of...
Optical Character Recognition (OCR) is the process of extracting the characters from a digital image...
Recognizing handwritten characters, the accuracy of the optical character recognition is usually not...
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatica...
In this paper, an attempt is made to develop off-line recognition strategies for the isolated Handwr...
A letter is a means of communicationto convey information in writing by one party tothe other party....
A proven strength of neural-network methods is their application to character recognition and docume...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
Abstract- OCR itself is currently translating images handwritten typewritten or printed text into a ...
Digital documents from the scanner device cannot be edited. To be able to edit digital documents, Op...
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
A neural network is a machine designed to model the way in which the brain performs a particular tas...
XXI century is the age of global automation and digitization. There is high demand for optical recog...