Rafael Dueire Lins
Steven J. Simske
ABSTRACT
Smartphones with cameras are omnipresent in today's world and are very often used to photograph documents. Document binarization is a key process in many document processing platforms. This competition on binarizing photographed documents assessed the quality and time performance of 13 new algorithms and 50 existing algorithms. The evaluation dataset is composed of offset, laser, and deskjet printed documents, photographed using four widely-used mobile devices with the strobe flash on and off, under two different angles and places of capture.
- Y. Akbari et. al. 2019. Binarization of Degraded Document Images using Convolutional Neural Networks based on predicted Two-Channel Images. In ICDAR'19.Google Scholar
Cross Ref
- Reza Azad, M. Asadi-Aghbolaghi, M. Fathy, and S. Escalera. 2019. Bi-directional ConvLSTM U-net with densley connected convolutions. ICCVW 2019 (2019).Google Scholar
- Bilal Bataineh, S. N. H. S. Abdullah, and K. Omar. 2011. An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows. Pattern Recog. Letters 32, 14 (2011).Google ScholarDigital Library
- Suman K. Bera et al. 2021. A non-parametric binarization method based on ensemble of clustering algorithms. Multim. Tools and Applications 80, 5 (2021).Google Scholar
- J Bernsen. 1986. Dynamic thresholding of gray-level images. In ICPR.Google Scholar
- Derek Bradley and G. Roth. 2007. Adaptive Thresholding using the Integral Image. Journal of Graphics Tools 12, 2 (2007).Google ScholarCross Ref
- Jorge Calvo-Zaragoza and A. Gallego. 2019. A selectional auto-encoder approach for document image binarization. Pattern Recog. 86 (2019).Google Scholar
- W. Doyle. 1962. Operations Useful for Similarity-Invariant Pattern Recognition. J. ACM 9, 2 (1962), 259--267.Google ScholarDigital Library
- R. Dueire Lins, S. J. Simske, and R. B. Bernardino. 2020. DocEng'20 Time-Quality Competition on Binarizing Photographed Documents. In DocEng'20. ACM.Google Scholar
- A. Gattal, F. Abbas, and M. R. Laouar. 2018. Automatic Parameter Tuning of K-Means Algorithm for Document Binarization. In ICSENT.Google Scholar
- C Glasbey. 1993. An Analysis of Histogram-Based Thresholding Algorithms. Graphical Models and Image Processing 55, 6 (1993), 532--537.Google ScholarDigital Library
- Zineb Hadjadj et al. 2016. ISauvola: Improved Sauvola's Algorithm for Document Image Binarization. Lecture Notes in CS, Vol. 3212. Springer Berlin Heidelberg.Google Scholar
- Sheng He and L. Schomaker. 2019. DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning. Pattern Recognition 91 (2019).Google Scholar
- Nicholas R. Howe. 2013. Document binarization with automatic parameter tuning. International Journal on Document Analysis and Recognition (IJDAR) 16, 3 (2013).Google Scholar
- L. Kai Huang and M. J. J. Wang. 1995. Image thresholding by minimizing the measures of fuzziness. Pattern Recognition 28, 1 (1995), 41--51.Google ScholarCross Ref
- Fuxi Jia, C. Shi, K. He, C. Wang, and B. Xiao. 2018. Degraded document image binarization using structural symmetry of strokes. Pattern Recognition 74 (2018).Google Scholar
- J Johannsen, G and Bille. 1982. A threshold selection method using information measures. In Int'l Conf. Pattern Recognition. 140--143.Google Scholar
- J.N. Kapur et al. 1985. A new method for gray-level picture thresholding using the entropy of the histogram. Comp. Vision, Graphics, and Im. Proc. 29, 1 (1985).Google Scholar
- E. Kavallieratou and S. Stathis. 2006. Adaptive binarization of historical document images. ICPR 3 (2006).Google Scholar
- Khurram Khurshid, I. Siddiqi, C. Faure, and N. Vincent. 2009. Comparison of Niblack inspired binarization methods for ancient documents. In SPIE Proceedings, Kathrin Berkner and Laurence Likforman-Sulem (Eds.).Google Scholar
- J. Kittler and J. Illingworth. 1986. Minimum error thresholding. Pattern Recognition 19, 1 (1986), 41--47.Google ScholarDigital Library
- Xiangmao Kong, G. Sun, Q. Wu, J. Liu, and F. Lin. 2018. Hybrid pyramid u-net model for brain tumor segmentation. In ICIIP. Springer.Google Scholar
- C.H. Li and P.K.S. Tam. 1998. An iterative algorithm for minimum cross entropy thresholding. Pattern Recognition Letters 19, 8 (1998).Google ScholarDigital Library
- Rafael Dueire Lins, R. B. Bernardino, et al. 2021. DocEng'2021 Direct Binarization A Quality-and-Time Efficient Binarization Strategy. In DocEng 2021. ACM.Google Scholar
- Rafael Dueire Lins, R. B. Bernardino, and et. al. 2017. Binarizing Document Images Acquired with Portable Cameras. In 2017 14th ICDAR. IEEE.Google Scholar
- Rafael Dueire Lins, E. Kavallieratou, E. B. Smith, R. B. Bernardino, and D. M. de Jesus. 2019. ICDAR 2019 Time-Quality Binarization Competition. In 2019 15th ICDAR.Google Scholar
- Shijian Lu, Bolan Su, and Chew Lim Tan. 2010. Document image binarization using background estimation and stroke edges. IJDAR 13, 4 (2010), 303--314.Google ScholarDigital Library
- Wu Lu, M. Songde, and H. Lu. 1998. An effective entropic thresholding for ultrasonic images. 14th ICPR (1998).Google Scholar
- C A B Mello and Rafael Dueire Lins. 2000. Image segmentation of historical documents. Visual 2000 (2000).Google Scholar
- W. A. Mustafa and A. M. Kader. 2018. Binarization of Document Image Using Optimum Threshold Modification. J. of Physics: Conference Series 1019, 1 (2018).Google ScholarCross Ref
- Wayne Niblack. 1985. An introduction to digital image processing. Strandberg Publishing Company.Google Scholar
- Sofia A. Oliveira, B. Seguin, and F. Kaplan. 2018. dhSegment: A generic deep-learning approach for document segmentation. CoRR abs/1804.1 (2018).Google Scholar
- Nobuyuki Otsu. 1979. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 9, 1 (1979).Google ScholarCross Ref
- Judith M. S. Prewitt and M. L. Mendelsohn. 2006. The Analysis of Cell Images. Annals of the New York Academy of Sciences 128, 3 (dec 2006), 1035--1053.Google ScholarCross Ref
- T. Pun. 1981. Entropic thresholding, a new approach. Computer Graphics and Image Processing 16, 3 (1981), 210--239.Google ScholarCross Ref
- Khairun Saddami, P. Afrah, V. Mutiawani, et al. 2018. A New Adaptive Thresholding Technique for Binarizing Ancient Document. In 2018 INAPR. IEEE.Google Scholar
- Khairun Saddami, K. Munadi, et al. 2017. Improved Thresholding Method for Enhancing Jawi Binarization Performance. In 2017 14th ICDAR, Vol. 1. IEEE.Google ScholarCross Ref
- Khairun Saddami, K. Munadi, Y. Away, et al. 2019. Combination Local and Global Thresholding Method for Binarizing Ancient Jawi Document. JTIIK (2019).Google Scholar
- Prasanna Sahoo, C. Wilkins, and J. Yeager. 1997. Threshold selection using Renyi's entropy. Pattern Recognition 30, 1 (1997).Google Scholar
- J. Sauvola and M. Pietikäinen. 2000. Adaptive document image binarization. Pattern Recognition 33, 2 (2000).Google Scholar
- A.G. G Shanbhag. 1994. Utilization of Information Measure as a Means of Image Thresholding. CVGIP: Graphical Models and Image Processing 56, 5 (1994).Google Scholar
- J. M. M. Silva, Rafael Dueire Lins, and V. C. Rocha. 2006. Binarizing and Filtering Historical Documents with Back-to-Front Interference. In ACM SIGAPP 2006.Google Scholar
- T. Romen Singh, S. Roy, O. I. Singh, et al. 2011. A New Local Adaptive Thresholding Technique in Binarization. IJCSI 08, 6 (2011).Google Scholar
- Elisa B. Smith, L. Likforman-Sulem, and J. Darbon. 2010. Effect of pre-processing on binarization. In Document Recognition and Retrieval XVII.Google Scholar
- V. Sokratis, E. Kavallieratou, R. Paredes, and K. Sotiropoulos. 2011. A Hybrid Binarization Technique for Document Images. In Studies in Comp. Intelligence.Google Scholar
- M. A. Souibgui and Y. Kessentini. 2021. DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement. IEEE T. P. A. M. Int. (2021).Google Scholar
- Bolan Su, S. Lu, and C. L. Tan. 2010. Binarization of historical document images using the local maximum and minimum. In 8th IAPR DAS '10. ACM Press.Google Scholar
- Wen-Hsiang Tsai. 1985. Moment-preserving thresolding: A new approach. Computer Vision, Graphics, and Image Processing 29, 3 (1985).Google Scholar
- Flavio R. Velasco. 1979. Thresholding Using the Isodata Clustering Algorithm. Technical Report. OSD or Non-Service DoD Agency.Google Scholar
- Christian Wolf et. al. 2003. Text localization, enhancement and binarization in multimedia documents, Vol. 2. IEEE Comput. Soc.Google Scholar
- Jui Cheng Yen, F. J. Chang, and S. Chang. 1995. A New Criterion for Automatic Multilevel Thresholding. IEEE Transactions on Image Processing 4, 3 (1995).Google Scholar
- G W Zack, W E Rogers, and S A Latt. 1977. Automatic measurement of sister chromatid exchange frequency. Journal of Histochem. and Cytochem. 25, 7 (1977).Google ScholarCross Ref
- Lichen Zhou et al. 2018. D-linknet: Linknet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction. In IEEE CS CCVPR Workshops.Google Scholar
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