Hand Printed Characters Recognition Using Wavelet Features and Neural Networks. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 4, Volume 28, Issue 4, December 2003, Page 11-20 PDF (175.81 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.142390 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| I. F. El-Nahry* | ||||
| Department., of Electrical Engineering., Suez Canal University., Port-Said, Egypt. | ||||
| 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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