References: [1] Brodic, D. (2011). The Evaluation of the Initial Skew Rate for Printed Text. Journal of Electrical Engineering - Elektrotechnický asopis, 62(3), 142-148.
[2] Shivakumara, P., Kumar, G. H., Guru, D. S., Nagabhushan, P. (2005). A Novel Technique for Estimation of Skew in Binary Text Document Images based on Linear Regression Analysis. Sdhan, 30(1), 69–86.
[3] Amin, A., Wu, S. (2005). Robust Skew Detection in Mixed Text/Graphics Documents. In Proceedings of the 8th ICDAR ’05, Seoul, Korea, 1, 247–251.
[4] Sauvola, L., Pietikainen, M. (2000). Adaptive Document Image Binarization. Pattern Recognition, 33(2), 225-236.
[5] Khasman, A., Sekeroglu, B. (2008). Document Image Binarisation Using a Supervised Neural Network. International Journal of Neural Systems, 18(5), 405-418.
[6] Bhowmik, M. K., Bhattacharjee, D., Nasipuri, M., Kundu, M., Basu, D. K. (2010). Classification of Log-Polar-Visual Eigenfaces using Multilayer Perceptron. International Journal of Image Processing (IJIP), 4(1), 12-23.
[7] Gonzalez, R. C., Woods, R. E. (2002). Digital Image Processing, 2nd edn. – Prentice-Hall.
[8] Brodi, D., Milivojevi, D. R., Milivojevi, Z. (2010). Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction. Sensors, 10(5), 5263– 5279.
[9] Popov, V. S. (2001). Principle of Symmetry and Relative Errors of Instrumentation and Transducers. Automation and Remote Control, 62(5), 183–189. |