Optical Character Recognition System for Nepali Language Using ConvNet
| Autor: | Bidhan Bhattarai, Manish K. Sharma |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Nepali
Computer science business.industry Deep learning Speech recognition Text segmentation 02 engineering and technology Optical character recognition Python (programming language) computer.software_genre Convolutional neural network language.human_language 020204 information systems 0202 electrical engineering electronic engineering information engineering language 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing computer.programming_language Spoken language |
| Zdroj: | ICMLC |
| DOI: | 10.1145/3055635.3056635 |
| Popis: | This paper describes the implementation of CNN (Convolution Neural Network) based Optical Character Recognition System for Nepali Language, a commonly spoken language in Nepal. The system has been developed in python using Keras[1] library on top of Theano[2] and numpy[3]. The system has been trained using a set of real world[4] and synthesized data sets considering various noise conditions. The tests have also been carried out in a similar setup. This paper details the experiment by discussing the concept, implementation details and overall interpretation of the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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