@inproceedings{00d1c74629584d3482a3c3727a1f4ef7,
title = "Identification of tool based on decision fusion of multi features",
abstract = "In order to solve the problem of bar code failure because of inadequate protection, pollution and other factors in the process of production, presented a new multi-information fusion technology used of residual bar code information, shape, texture and the weight information to identify the tool information in the database and recovery the tool identification. Experimental results show that the proposed scheme has better performance in accuracy, robustness and efficiency, can fully satisfy the actual requirement in production.",
keywords = "Decision-making layer, Feature extraction, Information fusion",
author = "Wang, {Jia Jing} and Zhang, {Shu Sheng} and He, {Wei Ping}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.496-500.1801",
language = "英语",
isbn = "9783037859926",
series = "Applied Mechanics and Materials",
pages = "1801--1807",
booktitle = "Frontiers of Manufacturing and Design Science IV",
note = "4th International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
}