@inproceedings{8600beaca955430aba97ec6783dea877,
title = "Feature pooling in scene character recognition: a comprehensive study",
abstract = "In this paper, we focus on the feature pooling methods for scene character recognition. We research three kinds of pooling methods: the average (sum) pooling, max pooling and weighted-based pooling methods. Specifically, various feature pooling methods are introduced, their merits and demerits are studied, and existing problems are discussed. Finally, we offer a specific comparison on the ICDAR2003 and Chars74k databases.",
keywords = "Feature pooling, Feature representation, Scene character recognition",
author = "Zhong Zhang and Hong Wang and Shuang Liu and Yunxue Shao",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2_262",
language = "English",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "2150--2157",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "Germany",
}