Offline Character Recognition Using Monte Carlo Method and Neural Network

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Provided by: Academy & Industry Research Collaboration Center
Topic: Networking
Format: PDF
Human machine interface are constantly gaining improvements because of increasing development of computer tools. Handwritten character recognition do have various significant applications like form scanning, verification, validation, or checks reading. Because of the importance of these applications passionate research in the field of off-line handwritten character recognition is going on. The challenge in recognizing the handwritings lies in the nature of humans, having unique styles in terms of font, contours, etc. This paper presents a novice approach to identify the offline characters; the authors call it as character divider approach which can be used after pre-processing stage.
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