Character Recognitions using neural based Back Prorogation Technique

Annu Kumari Mishra



Character Recognitions The literature on Character verification is quite extensive and shows two main areas of research, off-line and on-line systems. Off-line systems deal with a static image of the Character, the result of the action of signing while on-line systems work on the dynamic process of generating the Character, the action of signing itself. The system proposed in this paper falls within the category of on-line systems since the visual tracker of handwriting captures the timing information in the generation of the Character.  This paper discusses the back propagation technique and thus identifies suitable model for on-line Character Recognitions.


Data mining (KDD), Neural Network, Back Prorogation

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