@inproceedings{2f7a31ab3e0840f6a3655aef3d016572,
title = "A New Method for Fast Computation of Moments Based on 8-neighbor Chain CodeApplied to 2-D Objects Recognition",
abstract = "2D moment invariants have been successfully applied in pattern recognition tasks. The main difficulty of using moment invariants is the computational burden. To improve the algorithm of moments computation through an iterative method, an approach for fast computation of moments based on the 8-neighbor chain code is proposed in this paper. Then artificial neural networks are applied for 2D shape recognition with moment invariants. Compared with the method of polygonal approximation, this approach shows higher accuracy in shape representation and faster recognition speed in experiments",
keywords = "IR-16570, METIS-113455",
author = "Guangrong Ji and G.Y. Wang and Z. Houkes and Bing Zheng and Yan-ping Han",
year = "1997",
month = oct,
day = "10",
doi = "10.1109/ICIPS.1997.669116",
language = "Undefined",
isbn = "9780780342538",
publisher = "IEEE",
pages = "974--978",
booktitle = "Proceedings of the IEEE ICIPS'97, vol.2",
address = "United States",
note = "null ; Conference date: 28-10-1997 Through 31-10-1997",
}