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Character Recognition Using Neural Network without Feature Extraction for Numberplate Application

Author(s): Nikhil Inamdar1 , Jyothsna C2 , Sushma U Kamat

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 5;
Start page: 1973;
Date: 2013;
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Keywords: Acquisition | Recognition | Resizing | Binarization | Cropping.

Character Recognition plays an important role in the field of image processing. In this paper we propose character recognition using neural network for number plate recognition without feature extraction. The image pre processed, segmented and classified using probabilistic feed forward neural network. The input layer is given 3600 resized image pixels of 19 different samples of characters for training to achieve an accuracy of 92%

Tango Jona
Tangokurs Rapperswil-Jona

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