Optical Character Recognition using Artificial Intelligence
نویسندگان
چکیده
منابع مشابه
Optical Character Recognition Using Artificial Neural Networks Approach
The recent advances in computer technology many recognition task have been automated. OCR, Optical Character Recognition is a scheme of converting the images of typewritten or printed text into a format that is understood by machine. The goal of OCR is to classify the given character data represented by some characteristics, into a predefined finite number of character classes. For the recognit...
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Optical Character Recognition deals in recognition and classification of characters from an image. For the recognition to be accurate, certain topological and geometrical properties are calculated, based on which a character is classified and recognized. Also, the Human psychology perceives characters by its overall shape and features such as strokes, curves, protrusions, enclosures etc. These ...
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OCR has many useful applications and has attracted a great deal of research over the past years. It has been used in vehicle license plate recognition, information retrieval, document digitization, and in text-to-speech applications. In this work, Hidden Markov Models are used to perform OCR. HMM classifiers have been extensively used in continuous speech recognition (CSR) for many years. The s...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018916390