@inproceedings{c0524202878c4bdab758a959fb3ae01d,
title = "Text-independent writer recognition using modified texture and microstructure features",
abstract = "In this paper, we propose effective techniques for automatic writer recognition that operate at different analysis levels. At the texture level, we present a novel 2-D wavelet-based method to replace the traditional 2-D Gabor filter. In our analysis at the microstructure level, we use a floating grid around every edge pixel to record orientation and curvature information to characterize writer individuality. The final unique distance between two handwritten samples is computed as the average of the distances between the individual features. The experiments on a database containing 203 writers of address images exhibit that proposed methods achieve promising results.",
keywords = "Combination, the micro-structure level, the texture level, writer recognition",
author = "Dongli Wang and Zhimin Huang and Yue Lu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014 ; Conference date: 16-05-2014 Through 18-05-2014",
year = "2014",
month = dec,
day = "2",
doi = "10.1109/PIC.2014.6972299",
language = "英语",
series = "PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "75--78",
editor = "Yinglin Wang and Xuelong Li and Hongming Cai",
booktitle = "PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing",
address = "美国",
}