Neural network based optical character recognition system
| Autor: | Bratislav Milovanovic, Igor Mihajlovic, Nikola Dojcinovic, Vera Markovic, Jugoslav Jokovic |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Maximally stable extremal regions
Computer science business.industry Intelligent character recognition Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Pattern recognition Neocognitron 02 engineering and technology Image segmentation Optical character recognition computer.software_genre ComputingMethodologies_PATTERNRECOGNITION Character (mathematics) Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business computer |
| Zdroj: | 11th Symposium on Neural Network Applications in Electrical Engineering. |
| DOI: | 10.1109/neurel.2012.6419976 |
| Popis: | This paper presents an application of a neural network in the optical character recognition (OCR) system. It introduces general architecture of modern OCR systems, discussing each module in detail. Specific contribution of this paper is novelty of the character extraction and segmentation, by considering them as image features. MSER (Maximally Stable Extremal Regions) feature detector is applied, discussing numerical and practical restrictions for character segmentation and recognition. The neural network is trained for character recognition and applied on the appropriate example. |
| Databáze: | OpenAIRE |
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