Manish Kumar Jindal

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Offline handwritten character recognition (OHCR) is the method of converting handwritten text into machine processable layout. Since late sixties, efforts have been made for offline handwritten character recognition throughout the world. Principal Component Analysis (PCA) has also been used for extracting representative features for character recognition.(More)
The performance of any OCR system heavily depends upon printing quality of the input document. Many OCRs have been designed which correctly identify fine printed documents both in Indian and foreign scripts. But little reported work has been found on the recognition of the degraded documents. The performance of standard machine printed OCR system working(More)
Character segmentation plays a very important role in a text recognition system. The simple technique of using inter-character gap for segmentation is useful for fine printed documents, but this technique fails to give satisfactory results if the input text contains touching characters. In this paper, we have proposed two algorithms to segment touching(More)
A new technique for segmenting touching characters in upper zone of printed Gurmukhi script has been presented in this paper. The technique is based on the structural properties of the Gurmukhi script characters. Concavity and convexity of the characters has been studied and using top profile projections, the touching characters in upper zone have been(More)
step for text recognition. In degraded documents, existence of touching characters decreases recognition rate drastically, for any optical character recognition (OCR) system. In this paper a study of touching Gurmukhi characters is carried out and these characters have been divided into various categories after a careful analysis. Structural properties of(More)
The performance of an OCR system depends upon printing quality of the input document. Many OCRs have been designed which correctly identify fine printed documents in Indian and other scripts. But, little reported work has been found on the recognition of the degraded documents. The performance of any standard OCR system working for fine printed documents(More)
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