2016
DOI: 10.5120/ijca2016908750
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Review of Text Recognition Works

Abstract: Character recognition is an important problem in Pattern Classification. It is difficult to recognize the character in images or pdf or scanned text or handwritten characters scan. There are various ways to recognize text which comprises of Neural Network, Genetic Algorithm, Soft computing and fuzzy logic. In this paper, we compare the various ways already explored by researchers. We have tried to compare the Artificial Neural Network and Genetic Algorithm for the character recognition. The character image is … Show more

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Cited by 2 publications
(2 citation statements)
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“…OCR converts a 2D text image into machine-encoded text (i.e., string chains). This approach has been widely used in the last few decades to provide automated text entry into a computer instead of typing all the text [ 55 , 56 ]. Recent OCR engines make use of deep learning techniques to improve their accuracy in text detection and recognition.…”
Section: Book Recognitionmentioning
confidence: 99%
“…OCR converts a 2D text image into machine-encoded text (i.e., string chains). This approach has been widely used in the last few decades to provide automated text entry into a computer instead of typing all the text [ 55 , 56 ]. Recent OCR engines make use of deep learning techniques to improve their accuracy in text detection and recognition.…”
Section: Book Recognitionmentioning
confidence: 99%
“…The initial population composed of a set of feasible solutions is randomly generated 28 . In order to create the initial population, many experiments have been carried out.…”
Section: Optimization Scheme Of Communication Network Based On Geneti...mentioning
confidence: 99%