Offline Handwritten Gurmukhi Numeral Recognition using Wavelet Transforms
نویسندگان
چکیده
منابع مشابه
Handwritten Gurmukhi Character Recognition Using Wavelet Transforms
This paper presents an OCR (optical character recognition) system for the handwritten Gurmukhi characters using different wavelet transforms. There is a lot of research work available in case of optical character recognition of various languages like English, Chinese, and Arabic etc. But in case of handwritten Gurmukhi script very less research has been done. In this paper, Different Wavelet tr...
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Isolated handwritten character recognition has been the subject of intensive research during the last decades because it is useful in wide range of real world problems. It also provides a solution for processing large volumes of data automatically. There is an emerging trend in the research of recognizing handwritten characters and numerals of many Indian languages and scripts. In this paper, t...
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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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All over India more than 12 crore people utilize Gurumukhi script for speaking, documenting & other purposes. A considerable advancement in the work associated with the recognition of handwritten and printed Gurmukhi text has been reported in last few years. From the last few decades offline handwritten character recognition has gained a lot of interest of researchers. It is well known that eac...
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This paper presents an optical character recognition system for the handwritten Urdu Digits. A lot of work has been done in recognition of characters and numerals of various languages like Devanagari, English, Chinese, and Arabic etc. But in case of handwritten Urdu Digits very less work has been reported. Different Daubechies Wavelet transforms are used in this work for feature extraction. Als...
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ژورنال
عنوان ژورنال: International Journal of Modern Education and Computer Science
سال: 2012
ISSN: 2075-0161,2075-017X
DOI: 10.5815/ijmecs.2012.08.05