Backpropogation Neural Networks To Recognize Isolated Digits - M., Dharani
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Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as an approach for dealing with such application. In other words, to let the computer understand the numbers that is written manually by users and views them according to the computer process. Scientists and engineers with interests in image…mehr

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Produktbeschreibung
Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as an approach for dealing with such application. In other words, to let the computer understand the numbers that is written manually by users and views them according to the computer process. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with handwriting number recognition problems such as, minimum distance, decision tree and statistics.
Autorenporträt
Dharani is doing her research studies & was a M.Phil(Computer Science)at Avinashilingam University, Coimbatore,Tamil Nadu,India & she was a MCA(Computer Science)at Avinashilingam University, Coimbatore,Tamil Nadu,India.Her Research focused Neural Networks.