Comparison of convolutional neural network and bag of features for multi-font digit recognition
This paper evaluates the recognition performance of Convolutional Neural Network (CNN) and Bag of Features (BoF) for multiple font digit recognition. Font digit recognition is part of character recognition that is used to translate images from many document-input tasks such as handwritten, typewritt...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |