CNN based common approach to handwritten character recognition of multiple scripts

@article{Maitra2015CNNBC,
  title={CNN based common approach to handwritten character recognition of multiple scripts},
  author={Durjoy Sen Maitra and Ujjwal Bhattacharya and Swapan K. Parui},
  journal={2015 13th International Conference on Document Analysis and Recognition (ICDAR)},
  year={2015},
  pages={1021-1025}
}
There are many scripts in the world, several of which are used by hundreds of millions of people. Handwritten character recognition studies of several of these scripts are found in the literature. Different hand-crafted feature sets have been used in these recognition studies. However, convolutional neural network (CNN) has recently been used as an efficient unsupervised feature vector extractor. Although such a network can be used as a unified framework for both feature extraction and… 

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