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.
| Original language | English |
|---|---|
| Pages (from-to) | 21423-21450 |
| Number of pages | 28 |
| Journal | Multimedia Tools and Applications |
| Volume | 76 |
| Issue number | 20 |
| DOIs | |
| Publication status | Published - 2017 Oct 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications
Cite this
}
Paper check image quality enhancement with Moire reduction. / Ok, Jiheon; Youn, Sungwook; Seo, Guiwon; Choi, Euisun; Baek, Yoonkil; Lee, Chul Hee.
In: Multimedia Tools and Applications, Vol. 76, No. 20, 01.10.2017, p. 21423-21450.Research output: Contribution to journal › Article
TY - JOUR
T1 - Paper check image quality enhancement with Moire reduction
AU - Ok, Jiheon
AU - Youn, Sungwook
AU - Seo, Guiwon
AU - Choi, Euisun
AU - Baek, Yoonkil
AU - Lee, Chul Hee
PY - 2017/10/1
Y1 - 2017/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84992700914&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992700914&partnerID=8YFLogxK
U2 - 10.1007/s11042-016-4080-0
DO - 10.1007/s11042-016-4080-0
M3 - Article
VL - 76
SP - 21423
EP - 21450
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
SN - 1380-7501
IS - 20
ER -