Detection of variable regions in complex document images

Pre-processing is one of the significant protocol to be executed for achieving precise recognition of contents from aged document images. The aged document images are heavily besieged with the noisy artifacts accumulated due to its sustainability for longer times. In this paper, a technique is proposed for detection of variable regions from aged documents by employing the object detection technique and further histogram of gradients features are fed to the nearest neighbor classifier. The performance of the algorithm is analyzed with standard datasets of Tobacco800 Complex Document Image Database of University of Maryland Institute for Advanced Computer Studies.