Document Binarization with Automatic Parameter Tuning
Document Binarization with Automatic Parameter Tuning
Document Binarization with Automatic Parameter Tuning
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
[7] Chen, Y., Leedham, D.: Decompose algorithmfor thresholding degraded historical documentimages. IEEE Proceedings on Vision, Image andSignal Processing 152(6), 702–714 (2005)[8] Dawoud, A.: Iterative cross section sequencegraph for handwritten character segmentation.IEEE Transactions on Image Processing 16(8),2150–2154 (2007)[9] Gatos, B., Pratikakis, I., Perantonis, S.J.: Adaptivedegraded document image binarization.Pattern Recognition 39(3), 317–327 (2006)[10] Gatos, B., Pratikakis, I., Perantonis, S.J.: Improveddocument image binarization by using acombination of multiple binarization techniquesand adapted edge information. In: InternationalConference on Pattern Recognition, pp.1–4 (2008)[11] Howe, N.: A Laplacian energy for documentbinarization. In: International Conference on<strong>Document</strong> Analysis and Recognition, pp. 6–10(2011)[12] Lelore, T., Bouchara, F.: <strong>Document</strong> image binarizationusing Markov field model. In: InternationalConference on <strong>Document</strong> Analysis andRecognition, pp. 551–555 (2009)[13] Lelore, T., Bouchara, F.: Super-resolved binarizationof text based on FAIR algorithm. In:International Conference on <strong>Document</strong> Analysisand Recognition, pp. 839–843 (2011)[14] Lu, S., Su, B., Tan, C.L.: <strong>Document</strong> image binarizationusing background estimation and strokeedges. International Journal on <strong>Document</strong> Analysisand Recognition 13(4), 303–314 (2010)[17] Otsu, N.: A threshold selection method fromgraylevel histogram. IEEE Trans. on System,Man, Cybernetics 19(1), 62–66 (1978)[18] Peng, X., Setlur, S., Govindaraju, V., Sitaram,R.: Markov random field based binarization forhand-held devices captured document images.In: Proceedings of the Seventh Indian Conferenceon Computer Vision, Graphics and ImageProcessing, pp. 71–76 (2010)[19] Pratikakis, I., Gatos, B., Ntirogiannis, K.: IC-DAR 2011 document image binarization contest(DIBCO 2011). In: International Conference on<strong>Document</strong> Analysis and Recognition, pp. 1506–1510 (2011)[20] Ramírez-Ortegón, M.A., Tapia, E., Ramírez-Ramírez, L.L., Rojas, R., Cuevas, E.: Transitionpixel: A concept for binarization based on edgedetection and gray-intensity histograms. PatternRecognition pp. 1233–1243 (2010)[21] Sauvola, N., Pietikainen, M.: Adaptive documentimage binarization. Pattern Recognition33(2), 225–236 (2000)[22] Su, B., Lu, S., Tan, C.L.: <strong>Binarization</strong> of historicaldocument images using the local maximumand minimum. In: Proceedings of the 9th IAPRInternational Workshop on <strong>Document</strong> AnalysisSystems, pp. 159–166 (2010)[23] Vonikakis, V., Andreadis, I., Papamarkos, N.,Gasteratos, A.: Adaptive document binarization:A human vision approach. In: 2nd InternationalConference on Computer Vision Theoryand Applications, pp. 104–110. Barcelona (2007)[15] Mishra, A., Alahari, K., Jawahar, C.V.: AnMRF model for binarization of natural scenetext. In: International Conference on <strong>Document</strong>Analysis and Recognition (2011)[16] Niblack, W.: An Introduction to Digital ImageProcessing. Prentice-Hall, Englewood Cliffs,New Jersey (1986)16