Machine-Printed Character Recognition

[1]  Yue Lu,et al.  A nearest-neighbor chain based approach to skew estimation in document images , 2003, Pattern Recognit. Lett..

[2]  Jin Chen,et al.  Gabor features for offline Arabic handwriting recognition , 2010, DAS '10.

[3]  Lawrence O'Gorman,et al.  The Document Spectrum for Page Layout Analysis , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Chew Lim Tan,et al.  Recovery of distorted document images from bound volumes , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[5]  Stephen V. Rice,et al.  The Fourth Annual Test of OCR Accuracy , 1995 .

[6]  David S. Doermann,et al.  Geometric Rectification of Camera-Captured Document Images , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Fumitaka Kimura,et al.  Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[10]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[11]  Michael S. Brown,et al.  Geometric and shading correction for images of printed materials using boundary , 2006, IEEE Transactions on Image Processing.

[12]  Amandeep Kaur,et al.  Hough transform based fast skew detection and accurate skew correction methods , 2008, Pattern Recognit..

[13]  Song Mao,et al.  Empirical Performance Evaluation Methodology and Its Application to Page Segmentation Algorithms , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Matti Pietikäinen,et al.  Adaptive document image binarization , 2000, Pattern Recognit..

[15]  Gilles F. Houle,et al.  Hybrid Contextural Text Recognition with String Matching , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Qiang Huo,et al.  High performance Chinese OCR based on Gabor features, discriminative feature extraction and model training , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[17]  Yi Lu On the segmentation of touching characters , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[18]  Jun Sun,et al.  Skew detection using wavelet decomposition and projection profile analysis , 2007, Pattern Recognit. Lett..

[19]  Yasuaki Nakano,et al.  Segmentation methods for character recognition: from segmentation to document structure analysis , 1992, Proc. IEEE.

[20]  Herbert F. Schantz,et al.  History of OCR, Optical Character Recognition , 1982 .

[21]  Nei Kato,et al.  A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Michael S. Brown,et al.  A unified framework for document restoration using inpainting and shape-from-shading , 2009, Pattern Recognit..

[23]  Rohit Prasad,et al.  Stochastic Segment Modeling for Offline Handwriting Recognition , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[24]  Changsong Liu,et al.  A cylindrical surface model to rectify the bound document image , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[25]  Deepak Bagai,et al.  A new algorithm for skew detection and correction , 2004, Pattern Recognit. Lett..

[26]  Gernot A. Fink,et al.  Markov Models for Pattern Recognition: From Theory to Applications , 2007 .

[27]  Changsong Liu,et al.  Gabor filters-based feature extraction for character recognition , 2005, Pattern Recognit..

[28]  Wayne Niblack,et al.  An introduction to digital image processing , 1986 .

[29]  V. A. Kovalevsky,et al.  Character readers and pattern recognition , 1968 .

[30]  Motoi Iwata,et al.  Segmentation of Page Images Using the Area Voronoi Diagram , 1998, Comput. Vis. Image Underst..

[31]  Richard M. Schwartz,et al.  Multilingual Machine Printed OCR , 2001, Int. J. Pattern Recognit. Artif. Intell..