文章基本信息

标题：A Fingerprint Feature Extraction Algorithm based on Optimal Decision for Text Copy Detection
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作者：Guohua Wu ; Mengmeng Zhao ; Lin Han 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：11
页码：67
出版社：SERSC
摘要：ingerprint feature-based text copy detection can rapidly identify the plagiarism, but suffers from the excessive fingerprint density. To resolve the problem, we propose a fingerprint feature extraction algorithm based on the optimal decision, combined with Winnowing algorithm and optimal decision model, and it can extract fingerprint feature from the hash values in the sliding window. The experimental results demonstrate that our algorithm can reduce the fingerprint density when the windows’ fingerprint feature is too adjacent, and the selected fingerprints can represent the text feature on the premise of the accuracy of the text copy and the algorithm.
关键词：Copy Detection; Fingerprint Density; Fingerprint Feature Extraction; ;Winnowing; Optimal Decision