@inproceedings{c2286ddc51914371b97b756d6d257d1e,
title = "On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks",
abstract = "This paper presents a new feature extraction method together with neural network recognition for on-line Chinese characters. A Chinese character can be represented by a three-dimensional 12×12×4 array of numbers. Multiple convolutional neural networks are used for on-line small vocabulary Chinese character recognition based on this feature extraction method. We choose one hundred character classes as an example for recognition. Simulation result shows that 98.8% and 94.2% of training examples and test examples are correctly recognized respectively.",
author = "Wu, {Quen Zong} and Cun, {Yann Le} and Jackel, {Larry D.} and Jeng, {Bor Shenn}",
year = "1993",
language = "English (US)",
isbn = "0780312813",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Publ by IEEE",
pages = "2435--2438",
booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",
note = "Proceedings of the 1993 IEEE International Symposium on Circuits and Systems ; Conference date: 03-05-1993 Through 06-05-1993",
}