A Survey on Handwritten Character Recognition Using Artificial Neural Network
نویسنده
چکیده
To automatically recognize the handwritten Hindi character is a very tricky task. Because these characters are written in unlike sizes, dimension, orientation, thickness and format. The Hindi Language is one of the complex language which having compound characters. Compound characters are the combination of one or more characters to make complex characters. Thus the structure of these is complex in compare to separate characters. DEVANAGARI is the scripting language for many languages including Hindi, Sanskrit, Marathi, Nepali, Gujarati and so on. This paper discusses the survey on the recognition of handwritten Hindi compound characters by artificial neutral network and their variants.
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