Paper check image quality enhancement with Moire reduction

Jiheon Ok, Sungwook Youn, Guiwon Seo, Euisun Choi, Yoonkil Baek, Chulhee Lee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Paper checks may have complex background features including fine lines and patterns, which make forgery more difficult. Also, halftoning techniques are used to produce continuous tones and to prevent copies with void pantograph features. When these kinds of checks are scanned, Moire patterns may occur. These patterns make it difficult for customers to examine the scanned check images on ATM (Automated Teller Machine) displays. They also can decrease the classification accuracy of check recognition systems. In this paper, we propose an algorithm to enhance the perceptual quality of scanned check images by reducing the Moire patterns. The proposed algorithm consists of foreground extraction, Moire detection and Moire removal. Subjective image quality assessment was performed to evaluate the degree of improvement. Experimental results show that the proposed algorithm improves perceptual quality while maintaining check recognition accuracy.

Original languageEnglish
Pages (from-to)21423-21450
Number of pages28
JournalMultimedia Tools and Applications
Issue number20
Publication statusPublished - 2017 Oct 1

Bibliographical note

Publisher Copyright:
© 2016, Springer Science+Business Media New York.

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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