Wednesday, May 20, 2020

Optical Character Recognition Is Becoming Popular Areas Of...

Project Title:OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS Abstract: The Optical Character Recognition (OCR) is becoming popular areas of research under pattern recognition and smart device applications. It requires the intelligence like human brain to recognize the various handwritten characters. Artificial Neural Network (ANN) is used together the information required to recognize the characters adaptively. This paper presents a performance analysis of character recognition by Scale Invariant Feature (SIF) matrix with a Back Propagation Neural network (BPN). A GUI based OCR system is developed using Mat lab. The results are shown for the English alphabets and numeric. This is observed that the perceptron network converges faster, whereas the BPN can handle the complex script recognition when the training set is enriched. Keywords: Character recognition, back-propagation neural network, scale invariant feature Introduction: Automatic character recognition is a well-accepted area of research under pattern recognition. In handwritten character recognition, characters are written by different individuals that vary drastically from person to person due to variation in the writing style, its size and orientation of characters. This makes the system difficult to recognize the characters. Artificial Neural Network (ANN) helps to solve the problem of identifying handwritten characters in an automated manner. ANN is an adaptiveShow MoreRelatedManagment Information System25973 Words   |  104 Pagesof Hardware resources includes all physical devices and materials used in information processing. Specially, it includes not only machines, such as computers and other equipment, but also all data media, that is, all tangible objects on which data is recorded, from sheets of paper to magnetic disks. 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