Evaluating the previous work is an important part of develo** segmentation methods for
the image analysis techniques. The aim of this paper is to give a review of digital image …

Text detection in natural scene images is an important prerequisite for many content-based
image analysis tasks, while most current research efforts only focus on horizontal or near …

The paper analytically reviews the methods and algorithms for solving problems arising in
the development of writer identification offline systems. The main applied problems that are …

Since their first inception more than half a century ago, automatic reading systems have
evolved substantially, thereby showing impressive performance on machine-printed text …

Network throughput and packet delay are two important parameters in the design and the
evaluation of routing protocols for ad-hoc networks. While mobility has been shown to …

Two novel approaches to extract text lines and words from handwritten document are
presented. The line segmentation algorithm is based on locating the optimal succession of …

Separating text lines in unconstrained handwritten documents remains a challenge because
the handwritten text lines are often un-uniformly skewed and curved, and the space between …

In this paper, we have described the preparation of a benchmark database for research on
off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text …

Abstract The evaluation of Handwritten Text Recognition (HTR) systems has traditionally
used metrics based on the edit distance between HTR and ground truth (GT) transcripts, at …

Variations in inter-line gaps and skewed or curled text-lines are some of the challenging
issues in segmentation of handwritten text-lines. Moreover, overlap** and touching text …