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Corresponding Author

El-Nahry, I.

Subject Area

Electrical Engineering

Article Type

Original Study

Abstract

Simplifying automatic recognition algorithms for hand-printed characters attracted immense research efforts [1-3]. Character recognition systems can improve the interaction between man and machine in many applications, including office automation, business and data entry applications. This paper introduces the use of bi-dimensional wavelet as features extractor that is feed to Artificial Neural Networks (ANNs) for recognition Latin hand-printed characters. An experiment to verify the efficiency of the system was performed. The proposed technique can be divided into three major steps: the first step is pre-processing in which the original image is transformed into a digitized image utilizing a 300 dpi scanner. Second, feature extraction using wavelets Finally, multilayer artificial neural network is used for characters recognition.

Keywords

Pattern Recognition; wavelet; Feature Extraction; Neural network

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