Plagiarism Detection in Homework Based on Image Hashing  

作　　者：Ying Chen Liping Gan Shiqing Zhang Wenping Guo Yuelong Chuang and Xiaoming Zhao 

机构地区：[1]Institute of Intelligent Information Processing,Taizhou University, Taizhou 317000, China

出　　处：《国际计算机前沿大会会议论文集》2017年第2期100-102,共3页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

摘　　要：The problem of high similarity in homework has troubled teachers with time. Previous plagiarism detection systems are mainly realized by string matching which has a limitation, i.e., image homework cannot be detected. To this issue, we propose a new method of plagiarism detection in homework. First,we get fingerprint features of image homework by converting text homework into images. Then, we use image hashing algorithm and hamming distance to calculate the similarity of these features. Finally, we perform the empirical study on course of Computer Network Experiment, the test shows that our method not only reliably keeps the detection speedily, but also consistently ensures precision and false positive rate.

关 键 词：PLAGIARISM DETECTION IMAGE fingerprinting IMAGE HASHING Hamming DISTANCE 

分 类 号：C5[社会学]