1. Paper check image quality enhancement with Moire reduction
- Author
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Jiheon Ok, Chulhee Lee, Yoonkil Baek, Guiwon Seo, Sungwook Youn, and Euisun Choi
- Subjects
Computer Networks and Communications ,business.industry ,Image quality ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,020206 networking & telecommunications ,02 engineering and technology ,Moiré pattern ,Hardware and Architecture ,0202 electrical engineering, electronic engineering, information engineering ,Media Technology ,Pantograph ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,business ,Software - Abstract
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.
- Published
- 2016