DOI QR코드

DOI QR Code

A Novel Algorithm for Dot Pattern Recognition with Reading Pen

펜학습기의 도트 패턴 인식을 위한 새로운 알고리즘

  • 박혜빈 (상명대학교 컴퓨터과학과) ;
  • 정진우 (상명대학교 휴먼지능정보공학과)
  • Received : 2017.07.15
  • Accepted : 2017.10.13
  • Published : 2017.10.31

Abstract

Reading Pen is used mostly in educational purpose, yet its possibility is great as an input device for various IT devices. Reading Pen recognizes tiny dot patterns printed in papers, converts the patterns to corresponding codes, and plays audio contents that match the codes. Recognizing dot patterns and converting to the codes are the main function of Reading Pens, on which we focus and propose a novel algorithm. Such technology is never open to public and this paper is the first open attempt in this area. We test the algorithm and obtain 85% recognition ratio.

펜학습기는 교육 분야에서 주로 사용되며 급격히 성장하고 있는 기기로 종이 위에 인쇄된 미세한 도트패턴을 식별하여 코드로 변환한 후 코드와 매칭되는 음원을 실시간으로 재생한다. 입력된 도트패턴 영상을 코드로 변환하는 것이 펜학습기에서 가장 중요한 기능이므로 본 논문에서는 이 부분에 초점을 맞추어 알고리즘을 고안하였다. 해당 기술에 대한 알고리즘은 기존에 전혀 공개된 바 없으며 본 논문은 이러한 문제를 해결하려는 최초의 공개적인 시도이다. 실제 환경에서 성능을 평가한 결과 85% 패턴 인식률을 확인하였다.

Keywords

References

  1. Ngoc Son Han and Seong-Whan Kim, "Design of pattern recognition scheme for smart pen for IPTV story book game interaction", Korean Society For Computer Game, No. 13, pp. 117-122, June 2008.
  2. Tsai, Yao-Hung, and Li-Ching Chen, "Graphical indicator", U.S. Patent, No. 7549597, 23 Jun 2009.
  3. Mehmet Sezgin, "Survey over image thresholding techniques and quantitative performance evaluation", Journal of Electronic imaging, Vol. 13, No. 1, pp. 146-168, 2004. DOI: http://dx.doi.org/10.1117/1.1631315.
  4. Eui Chul Lee, "A Method for Improving Vein Recognition Performance by Illumination Normalization", Journal of the Korea Institute of Information and Communication Engineering, Vol. 17, No. 2, pp. 423-430, 2013. DOI: http://dx.doi..org/10.6109/jkiice.2013.17.2.423.
  5. Tae-Hee Lee, et al, "A Road Extraction Algorithm using Mean-Shift Segmentation and Connected -Component", Journal of Digital Convergence, Vol. 12, No. 1, pp. 359-364, 2014. DOI: http://dx.doi.org/10.14400/JDPM.2014.12.1.359.
  6. A. Rosenfeld and J. L. Pfaltz, "Sequential Operations in Digital Picture Processing", Journal of the Association for Computer Machinery, Vol. 13, pp. 471-494, 1966. https://doi.org/10.1145/321356.321357
  7. Hak-Chul Shin, et al, "Performance Improvement of Eye Tracking System using Reinforcement Learning", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 13, No. 2, pp. 171-179, 2013. DOI: http://dx.doi.org/10.7236/JIIBC.2013.13.2.171.
  8. http://www.digibird.co.kr/