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Plagiarism Detection in Homework Based on Image Hashing

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Book cover Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

Abstract

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.

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Acknowledgment

This research was supported by Zhejiang Provincial Natural Science Foundation of China under Grant No. LY14F020036.

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Authors and Affiliations

  1. Institute of Intelligent Information Processing, Taizhou University, Taizhou, 317000, China

    Ying Chen, Liping Gan, Shiqing Zhang, Wenping Guo, Yuelong Chuang & Xiaoming Zhao

Authors
  1. Ying Chen
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  2. Liping Gan
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  3. Shiqing Zhang
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  4. Wenping Guo
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  5. Yuelong Chuang
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  6. Xiaoming Zhao
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Corresponding author

Correspondence to Ying Chen .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. Northeast Forestry University, Harbin, China

    Weipeng Jing

  5. Huaihua University, Huaihua, Hunan, China

    Xiaoning Peng

  6. Sciences of Country Tripod Institute of Data Science, Harbin, China

    Zeguang Lu

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© 2017 Springer Nature Singapore Pte Ltd.

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Chen, Y., Gan, L., Zhang, S., Guo, W., Chuang, Y., Zhao, X. (2017). Plagiarism Detection in Homework Based on Image Hashing. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_35

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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