Character recognition (CR) has been extensively studied in the last half century and has
progressed to a level that is sufficient to produce technology-driven applications. Now …

A new analytic scheme, which uses a sequence of image segmentation and recognition
algorithms, is proposed for the off-line cursive handwriting recognition problem. First, some …

This work proposes a novel adaptive approach for character segmentation and feature
vector extraction from seriously degraded images. An algorithm based on the histogram …

An approach of segmenting a single-or multiple-touching handwritten numeral string (two-
digits) is proposed. Most algorithms for segmenting connected digits mainly focus on the …

Due to their specific characteristics, palm leaf manuscripts provide new challenges for text
line segmentation tasks in document analysis. We investigated the performance of six text …

A new approach to separating single touching handwritten digit strings is presented. The
image of the connected numerals is normalized, preprocessed and then thinned before …

In this paper we present a new text line detection method for unconstrained handwritten
documents. The proposed technique is based on a strategy that consists of three distinct …

Most of text line and character segmentation methods for handwritten document image
basically still depend on the binary image of the document. Unfortunately, for palm leaf …

This paper addresses an important and vital problem within the general area of character
recognition, namely separating connected digits in handwritten numerals. The basic idea is …

In this study, we introduce a one-dimensional feature set, which embeds two-dimensional
information into an observation sequence of one-dimensional string, selected from a code …