|Recent Trends in Image Processing and Pattern Recognition
|Foundation of Computer Science USA
|RTIPPR - Number 1
|Authors: M. Uma Devi, C. Raghavendra Rao, Arun Agarwal
M. Uma Devi, C. Raghavendra Rao, Arun Agarwal . A Survey of Image Processing Techniques for Identification of Printing Technology in Document Forensic Perspective. Recent Trends in Image Processing and Pattern Recognition. RTIPPR, 1 (None 2010), 9-15.
This paper discusses about various image processing techniques and tools which are available for identification of printing technologies. Printing technology identification and associated problems in document forensics have been projected as challenges in image processing application. Various image processing approaches based on textures, spatial variation, HSV color space, spatial correlation, and feature based on histogram and some of the pattern recognition methods, like gray level co-occurrence matrix, roughness of the text, perimeter of edge are highlighted. This paper devotes more on one of the recent contribution, namely, Gaussian Variogram Model (GVM) for printer classification.