In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

Abstract Arabic Handwriting Recognition (AHR) is a complex task involving the
transformation of handwritten Arabic text from image format into machine-readable data …

In this paper we present a language independent global method for automatic text line
extraction. The proposed approach computes an energy map of a text image and …

We present a learning-free method for text line segmentation of historical handwritten
document images. This method relies on automatic scale selection together with second …

The issue of handwritten recognition in Arabic script nature has attracted many researchers
from both academic and industrial fields. But their efforts have not reached satisfying …

Text line segmentation in handwritten documents is an important task in the recognition of
historical documents. Handwritten document images contain text lines with multiple …

Handwriting recognition remains challenging for some of the most spoken languages, like
Bangla, due to the complexity of line and word segmentation brought by the curvilinear …

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 …

A crucial task in character recognition systems is the segmentation of the document into text
lines and especially if it is handwritten. When dealing with non-Latin document such as …

This paper presents an approach to extract curved text lines from Arabic handwritten
documents, based on the perception mechanisms involved in the human reading process …