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Detecting Document Forgery Using Hyperspectral Imaging and Machine Learning

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Computer Vision and Image Processing (CVIP 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1568))

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Abstract

Forgery is the process of fabricating, transforming or imitating writings, objects, or documents. It is a white-collar crime. Investigating forged cheques, wills or modified documents frequently involves analysing the inks used in these write-ups. Hyperspectral imaging can be used to identify various types of materials. This technology paired with powerful classifiers can be implemented to identify the various types of inks used in a document. This study leveraged the UWA Writing Ink Hyperspectral Images database (WIHSI) to carry forth ink detection by applying three different dimension reduction algorithms namely: Principal Component Analysis, Factor Analysis, and Independent Component Analysis. After which, a comparative study was carried forth between different processes applied in this study and existing methods. In essence, this work aims to integrate the use of hyperspectral imagery with machine learning and dimension reduction to detect document forgery.

V. Rastogi and S. Srivastava—Equal contribution.

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Notes

  1. 1.

    https://socratic.org/questions/what-is-difference-between-spectrophotometry-and-spectroscopy.

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Authors and Affiliations

  1. Indira Gandhi Delhi Technical University for Women, Kashmere Gate, Delhi, India

    Vrinda Rastogi, Sahima Srivastava, Garima Jaiswal & Arun Sharma

Authors
  1. Vrinda Rastogi
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  2. Sahima Srivastava
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  3. Garima Jaiswal
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  4. Arun Sharma
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Corresponding author

Correspondence to Vrinda Rastogi .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  2. Indian Institute of Technology Ropar, Ropar, India

    Subrahmanyam Murala

  3. Jadavpur University, Kolkata, India

    Ananda Chowdhury

  4. Indian Institute of Technology Ropar, Ropar, India

    Abhinav Dhall

  5. Indian Institute of Technology Ropar, Ropar, India

    Puneet Goyal

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Rastogi, V., Srivastava, S., Jaiswal, G., Sharma, A. (2022). Detecting Document Forgery Using Hyperspectral Imaging and Machine Learning. In: Raman, B., Murala, S., Chowdhury, A., Dhall, A., Goyal, P. (eds) Computer Vision and Image Processing. CVIP 2021. Communications in Computer and Information Science, vol 1568. Springer, Cham. https://doi.org/10.1007/978-3-031-11349-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-11349-9_2

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