ICFHR 2012 Competition on Handwritten Document Image Binarization (H-DIBCO 2012)

作者: Ioannis Pratikakis , Basilis Gatos , Konstantinos Ntirogiannis , None

DOI: 10.1109/ICFHR.2012.216

关键词:

摘要: … in handwritten document image binarization using … image binarization methods using a variety of scanned handwritten documents for which the corresponding binary ground truth image …

参考文章(28)
Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, Mohamed Cheriet, Historical document binarization based on phase information of images international conference on computer vision. pp. 1- 12 ,(2012) , 10.1007/978-3-642-37484-5_1
Peter Kovesi, Phase Preserving Denoising of Images Phase Preserving Denoising of Images. pp. 212- 217 ,(1999)
Mauro Birattari, Zhi Yuan, Prasanna Balaprakash, Thomas Stützle, None, F-Race and Iterated F-Race: An Overview Experimental Methods for the Analysis of Optimization Algorithms. pp. 311- 336 ,(2010) , 10.1007/978-3-642-02538-9_13
Marte A Ramírez-Ortegón, Ernesto Tapia, Raúl Rojas, Erik Cuevas, None, Transition thresholds and transition operators for binarization and edge detection Pattern Recognition. ,vol. 43, pp. 3243- 3254 ,(2010) , 10.1016/J.PATCOG.2010.04.028
K. Ntirogiannis, B. Gatos, I. Pratikakis, A combined approach for the binarization of handwritten document images Pattern Recognition Letters. ,vol. 35, pp. 3- 15 ,(2014) , 10.1016/J.PATREC.2012.09.026
Marte A Ramírez-Ortegón, Ernesto Tapia, Lilia L Ramírez-Ramírez, Raúl Rojas, Erik Cuevas, None, Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms Pattern Recognition. ,vol. 43, pp. 1233- 1243 ,(2010) , 10.1016/J.PATCOG.2009.11.006
Nicholas R. Howe, A Laplacian Energy for Document Binarization international conference on document analysis and recognition. pp. 6- 10 ,(2011) , 10.1109/ICDAR.2011.11
J. Kittler, J. Illingworth, Minimum error thresholding Pattern Recognition. ,vol. 19, pp. 41- 47 ,(1986) , 10.1016/0031-3203(86)90030-0
Bolan Su, Shijian Lu, Chew Lim Tan, Robust Document Image Binarization Technique for Degraded Document Images IEEE Transactions on Image Processing. ,vol. 22, pp. 1408- 1417 ,(2013) , 10.1109/TIP.2012.2231089