We introduce a general formulation, called non-negative graph embedding, for non-negative
data decomposition by integrating the characteristics of both intrinsic and penalty graphs …

The automatic transcription of text in handwritten documents has many applications, from
automatic document processing, to indexing and document understanding. One of the most …

Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …

Character recognition for cursive script like Arabic, handwritten English and French is a
challenging task which becomes more complicated for Urdu Nasta'liq text due to complexity …

The recognition of Arabic script and its derivatives such as Urdu, Persian, Pashto etc. is a
difficult task due to complexity of this script. Particularly, Urdu text recognition is more difficult …

In this paper we present a system for offline recognition cursive Arabic handwritten text
based on Hidden Markov Models (HMMs). The system is analytical without explicit …

Automatic text recognition in document images is an important task in many real-world
applications. Several systems have been proposed to accomplish this task. However, a little …

Off-line handwritten text recognition (HTR) poses a significant challenge due to the
complexities of variable handwriting styles, background degradation, and unconstrained …

This paper presents the first Pashto text image database for scientific research and thereby
the first dataset with complete handwritten and printed text line images which ultimately …

This paper presents a system for offline recognition of cursive Arabic handwritten text based
on Hidden Markov Models (HMMs). The proposed work reports an effective method taking …