Comparative implementation of Handwritten and Machine written Gurmukhi text utilizing appropriate parameters
نویسندگان
چکیده
منابع مشابه
Segmentation of Handwritten Gurmukhi Text into Lines
Text line segmentation is an essential pre-processing stage for handwriting recognition in many Optical Character Recognition (OCR) systems. It is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of hand...
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Immense research has been done on optical character recognition in the last few decades. The desire to make scanned text document as an editable document, forces the investigators to think about the optical character recognition (OCR). The process of recognizing a segmented part of the scanned image as a character is OCR. This process consists of three major sub processes pre processing, segmen...
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15 صفحه اولOnline Handwritten Gurmukhi Character Recognition
Computers are greatly influencing the lives of human beings and their usage is increasing at a tremendous rate. The ease with which we can exchange information between user and computer is of immense importance today because input devices such as keyboard and mouse have limitations vis-à-vis input through natural handwriting. We can use the online handwriting recognition process for a quick and...
متن کاملSVM Based Offline Handwritten Gurmukhi Character Recognition
Support Vector Machines (SVMs) have successfully been used in recognizing printed characters. In the present work, we have used this classification technique to recognize handwritten characters. Recognition of handwritten characters is a difficult task owing to various writing styles of individuals. A scheme for offline handwritten Gurmukhi character recognition based on SVMs is presented in th...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2018
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/933/1/012002