Character segmentation from text lines in degraded historical document images is
challenging due to complex background and non-availability of regular structures of text …

In this paper an efficient approach for segmentation of the individual characters from
scanned documents typed on old typewriters is proposed. The approach proposed in this …

The clusters of historical documents are of great importance in terms of cultural and
scientific. In order to access the documents, originality should be maintained. So conversion …

To improve the classification accuracy of multiple power quality disturbances, we proposed
a hybrid kernel function support vector machine (HSVM) based on the particle swarm …

This paper presents an efficient new image compression and decompression methods for
document images, intended for usage in the pre-processing stage of an OCR system …

Currently, image de-noising has become a hot topic for image classical solution of the
estimation problem. The effectiveness of wavelet-based threshold functions for image de …

Image segmentation plays an important role in the fields of multimedia, image processing
and computer vision. However, image segmentation is a difficult problem in the process of …

Nowadays, there are lot of assistive technologies to support visually impaired people.
Among them computer vision based methods provide a feasible solution. An indoor …

Watershed transformation is an important method of image edge segmentation. The
traditional watershed method is poor in dealing froth image mixed with different sizes of …

In this paper one important entirety in most OCR systems is discussed. The main goal is to
explain the approach for segmentation of the individual characters from machinetyped …