Main topic of this work are edge detection and representation algorithms used in an digital image. Some of typically used algorithms and methods are shown and described. Next aim of this work is design and description of implementation of a simple OCR system based on edge detection with use of an artificial neural net for a machine printed character recognition. The system was written in C programming language and uses OpenCV graphic library and FANN library for creating a neural net. Application was created and tested under Windows XP operating system
A robust and accurate object recognition tool is presented in this paper. The paper introduced the u...
Computer manipulation of images is generally defined as digital image processing (DIP). DIP is emplo...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
Computer image processing often involves three processing stages : 1. detecting and extracting edges...
Aim of this thesis is description of neural network based edge detection methods that are substitute...
Abstract: Edge is a basic feature of image. The image edges include rich information that is very si...
This work focuses on the theory of artificial neural networks: the history, individual ways of learn...
The thesis is concerned with optical character recognition from image data with different methods us...
Although OCR (Optical Character Recognition) is a topic which has been a subject of research since t...
The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratori...
This paper describes problems of text recognition in picture. Discuss successes, advatages and disad...
Computer Vision and Image ProcessingComputer Vision and Image Processing contains review papers from...
This paper describes basic methods used for optical character recognition. It explains all procedure...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
A proven strength of neural-network methods is their application to character recognition and docume...
A robust and accurate object recognition tool is presented in this paper. The paper introduced the u...
Computer manipulation of images is generally defined as digital image processing (DIP). DIP is emplo...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...
Computer image processing often involves three processing stages : 1. detecting and extracting edges...
Aim of this thesis is description of neural network based edge detection methods that are substitute...
Abstract: Edge is a basic feature of image. The image edges include rich information that is very si...
This work focuses on the theory of artificial neural networks: the history, individual ways of learn...
The thesis is concerned with optical character recognition from image data with different methods us...
Although OCR (Optical Character Recognition) is a topic which has been a subject of research since t...
The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratori...
This paper describes problems of text recognition in picture. Discuss successes, advatages and disad...
Computer Vision and Image ProcessingComputer Vision and Image Processing contains review papers from...
This paper describes basic methods used for optical character recognition. It explains all procedure...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
A proven strength of neural-network methods is their application to character recognition and docume...
A robust and accurate object recognition tool is presented in this paper. The paper introduced the u...
Computer manipulation of images is generally defined as digital image processing (DIP). DIP is emplo...
This master’s thesis deals with optical character recognition. The first part describes the basic ty...