DOI QR코드

DOI QR Code

A Method of Detecting Character Data through a Adaboost Learning Method

에이다부스트 학습을 이용한 문자 데이터 검출 방법

  • Jang, Seok-Woo (Department of Digital Media, Anyang University) ;
  • Byun, Siwoo (Department of Digital Media, Anyang University)
  • 장석우 (안양대학교 디지털미디어학과) ;
  • 변시우 (안양대학교 디지털미디어학과)
  • Received : 2017.06.26
  • Accepted : 2017.07.07
  • Published : 2017.07.31

Abstract

It is a very important task to extract character regions contained in various input color images, because characters can provide significant information representing the content of an image. In this paper, we propose a new method for extracting character regions from various input images using MCT features and an AdaBoost algorithm. Using geometric features, the method extracts actual character regions by filtering out non-character regions from among candidate regions. Experimental results show that the suggested algorithm accurately extracts character regions from input images. We expect the suggested algorithm will be useful in multimedia and image processing-related applications, such as store signboard detection and car license plate recognition.

Keywords

Character extraction;Evaluation;Feature;Learning algorithm;Performance

References

  1. J.-G. Ko, Y.-S. Bae, J.-Y. Park, and K. Park, "Technologies Trends in Image Big Data Analysis," Electronics and Telecommunications Trends, vol. 29, no. 4, pp. 21-29, Aug. 2014.
  2. Sang-Hyun Kim, Gil-Ja So, "Block Based Extraction of Excessive Disparity Regions Using Automatic Binarization," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 5, no. 4, pp. 91-100, Aug. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.08.56 https://doi.org/10.14257/AJMAHS.2015.08.56
  3. Inkyu Jeong, Jongmyon Kim, "Optimal Design Space Exploration of Multi-core Architecture for Real-time Lane Detection Algorithm," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 3, pp. 339-349, Mar. 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.03.36 https://doi.org/10.14257/AJMAHS.2017.03.36
  4. Young-Jung Yu, Seong-Ho Park, Sang-Ho Moon, Yeon-Jun Choi, "A Study on Face Contour Line Extraction using Adaptive Skin Color," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 3, pp. 383-391, Mar. 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.03.66 https://doi.org/10.14257/AJMAHS.2017.03.66
  5. Gil-Ja So, Sang-Hyun Kim, "The Research of Depth Discontinuity Detection Using Adaptive DIP", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 5, no. 3, pp. 37-46, June 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.06.26 https://doi.org/10.14257/AJMAHS.2015.06.26
  6. S.-W. Jang, K.-J. Ahn, and G.-Y. Kim, "Robust Caption Segmentation Using DCT Coefficients and Edges," Journal of Korean Institute of Next Generation Computing, vol. 11, no. 3, pp. 63-72, June 2015.
  7. Jongil Baek, Kyoungtaek Song, Wonkyun Choi, Khiguen Yu, Pilwoo Lee, Hanjin In, Cheoljung Kim, Kwangsoo Yeo, Soonseok Kim, "Study for the Pseudonymization Technique of Medical Image Data," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 6, no. 6, pp. 103-110, June 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.06.28 https://doi.org/10.14257/AJMAHS.2016.06.28
  8. K. Lim, H. Byun, and Y. Choi, "Vehicle License Plate Detection in Road Images," Journal of Korean Institute of Information Scientists and Engineers, vol. 43, no. 2, pp. 186-195, February 2016. DOI: https://doi.org/10.5626/jok.2016.43.2.186 https://doi.org/10.5626/jok.2016.43.2.186
  9. X. Qian, G. Liu, H. Wang, and R. Su, "Text Detection, Localization, and Tracking in Compressed Video," Signal Processing: Image Communication, vol. 22, no. 9. pp. 752-768. October 2007. DOI: https://doi.org/10.1016/j.image.2007.06.005 https://doi.org/10.1016/j.image.2007.06.005
  10. W. Kim and C. Kim, "A New Approach for Overlay Text Detection and Extraction from Complex Video Scene," IEEE Transactions on Image Processing, vol. 18, no. 2, pp. 401-411, Feb. 2009. DOI: https://doi.org/10.1109/TIP.2008.2008225 https://doi.org/10.1109/TIP.2008.2008225
  11. H. Lee, S. Chen, and S. Wang, "Extraction and recognition of license plates of motorcycles and vehicles," In Proc. of the 17th IEEE International Conference on Pattern Recognition, pp. 356-359, Aug. 2004.
  12. K. Deb and K. Jo, "HSI Color-based Vehicle License Plate Detection," In Proc. of the International Conference on Control, Automation and Systems, pp. 687-691, 2008. DOI: https://doi.org/10.1109/iccas.2008.4694589 https://doi.org/10.1109/iccas.2008.4694589
  13. Shin-Sim Kang, Hyun-Sug Cho, Jea-Yong Lee, "Development of the Ordering System by CMOS," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 6, no. 4, pp. 63-71, Apr. 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.04.39 https://doi.org/10.14257/AJMAHS.2016.04.39
  14. B. Froba and A. Ernst, "Face Detection with the Modified Census Transform," In Proc. of the IEEE International Conference on Automatic Face and Gesture Recognition, pp. 91-96, May 2004. DOI: https://doi.org/10.1109/afgr.2004.1301514 https://doi.org/10.1109/afgr.2004.1301514
  15. H.-W. Jo and B. Moon, "A Modified Census Transform Using the Representative Intensity Values," In Proc. of the International SoC Design Conference (ISOCC), pp. 309-310, Nov. 2015. DOI: https://doi.org/10.1109/isocc.2015.7401711 https://doi.org/10.1109/isocc.2015.7401711
  16. C. Gao, P. Li, Y. Zhang, J. Liu, and L. Wang, "People Counting Based on Head Detection Combining Adaboost and CNN in Crowded Surveillance Environment," Neurocomputing, vol. 208, pp. 108-116, Oct. 2016. DOI: https://doi.org/10.1016/j.neucom.2016.01.097 https://doi.org/10.1016/j.neucom.2016.01.097
  17. P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 511-518, Dec. 2001. DOI: https://doi.org/10.1109/cvpr.2001.990517 https://doi.org/10.1109/cvpr.2001.990517
  18. E. Rosten and T. Drummond, "Machine Learning for High-Speed Corner Detection," In Proc. of the European Conference on Computer Vision, pp. 430-443, May 2006. DOI: https://doi.org/10.1007/11744023_34 https://doi.org/10.1007/11744023_34