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An approach for selection of features using principal component analysis technique to classify segmented (isolated) Kannada characters is presented in this paper. Artificial neural network is used as classifier. The ability of neural networks to learn by ordinary experience, as we do, and to take sensitive decisions give them the power to solve problems found intractable or difficult for traditional...
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process...
A new algorithm for license plate character recognition is proposed on the basis of Signature analysis properties and features extraction. Signature analysis has been used to locate license plate region and its properties can be further utilised in supporting and affirming the license plate character recognition. This paper presents the implementation of Signature Analysis combined with Features Extraction...
Vietnamese is the national and official language in Vietnam. In the Vietnamese writing system, most of vowels have diacritical signs. With this special feature, secret information can be embedded into Vietnamese documents by slightly shifting up/down and left/right these signs. The embedded documents are nearly the same as the original ones, and so the reader could not find any differences by eyes...
In this paper we propose an automatic system that recognizes continuous Arabic-Urdu Alphabet scripts through mouse in real- time based on Artificial Neural Network (ANN). The proposed neural network is trained using traditional back-propagation algorithm for self supervised neural network which provides the system with great learning ability and thus has proven highly successful in training for feed-forward...
Because of growing technology and fast living, business card are very much in demand. Most of the cards have fixed font size and style. That's why the OCR required for such documents does not need to be so expensive (computational cost) and complex (Artificial Neural Network). This paper presents a simple, efficient, and less costly approach to construct OCR for cards reading or any document that...
This paper presents an efficient online handwritten character recognition system for Malayalam characters (OHR-M) using Kohonen network. It would help in recognizing Malayalam text entered using pen-like devices. It will be more natural and efficient way for users to enter text using a pen than keyboard and mouse. To identify the difference between similar characters in Malayalam a novel feature extraction...
The technological changes over the time, have allowed today's society focuses on the acquisition of all types of electronic documents, which is why there is a need to implement new systems to help us in the handwriting characters recognition field, since 70's years have been made research in this area but there are still problems without a solution, especially in cursive handwriting characters recognition...
VFD (vacuum fluorescent display) is commonly used in stereos, carradio and in other electronic equipment. Then exactly recognizing the characteristics of VFD is significant. A novelty computer vision system based on artificial neural network for VFD inspection is presented in this paper. The system includes hardware and software; camera and image acquisition board can acquire the on-line image of...
Handwritten character recognition is playing a vital role in many areas of modern world. Even though considerable research work has been done in handwritten character recognition, comparatively fewer efforts have been made on handwritten Tamil character recognition. This paper proposes an adaptable method for recognizing handwritten Tamil characters. The adaptability is achieved using a type of artificial...
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