@inproceedings{59869869468c420ead1cc175b9532267,
title = "Ultra-low resolution character recognition system with pruning mutual subspace method",
abstract = "Improvement of character recognition technology brings us various character recognition applications for mobile camera. However, many low-resolution and poor-quality character images exist due to the performance of the camera or the influence of environment, and existing methods are not good at recognizing those low-resolution characters. Therefore, we develop a character recognition system for ultra-low resolution character images less than 20∗20 pixels. The proposed system consists of three phases: increased training data with a generative learning method, creating a deblurred high-resolution image with Wiener filter and image alignment, and recognition by pruning Mutual Subspace Method.",
keywords = "Accuracy, Cameras, Character recognition, Image recognition, Image resolution, Training data, Wiener filters",
author = "Shuhei Toba and Hirotaka Kudo and Tomo Miyazaki and Yoshihiro Sugaya and Shinichiro Omachi",
note = "Funding Information: Parts of this research were supported by JST, CREST. Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7216900",
language = "English",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "284--285",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
address = "United States",
}