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Literature Similarity Detection Based on Digital Fingerprint
Received date: 2013-05-28
Revised date: 2013-07-12
Online published: 2013-08-05
As a copyright protection technique, digital fingerprint has been a hot research area. This paper proposed a digital fingerprinting algorithm for text based on Chinese words frequency. A frequency list is built through statistics on word frequency and character frequency in a document repository. With this frequency list a digital fingerprint for text of any length can be generated based on the principle for maximum entropy. To get an estimation of the similarity for two texts a Hamming distance can be calculated for the two corresponding digital fingerprint. We build a hash table based on zhwiki-20121129-all-titles corpus and with this table experiment on four core journals. The result shows that normal ways of plagiarism can be detected by this robust fingerprinting algorithm.
Bai Rujiang , Wang Xiaodi , Wang Xiaoyue . Literature Similarity Detection Based on Digital Fingerprint[J]. Library and Information Service, 2013 , 57(15) : 88 -95 . DOI: 10.7536/j.issn.0252-3116.2013.15.014
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