Intensive research has been done on optical character recognition (OCR) and a large
number of articles have been published on this topic during the last few decades. Many …

Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …

Abstract Machine simulation of human reading has been subject of intensive research for
the last three decades. This paper presents a summary about the recent advances in terms …

Develo** a standard database for offline handwriting recognition is an essential task. This
paper offers a novel comprehensive database for conducting research on offline Persian …

Automatic recognition of handwritten digit string with unknown length has many potential
real applications. The most challenging step in this problem is how to efficiently segment …

Over the last decades, a great deal of research has been devoted to handwritten digit
segmentation. Algorithms based on different features extracted from the background …

Handwriting recognition has been one of the active and challenging research areas in the
field of image processing and pattern recognition. It has numerous applications that …

In this paper we discuss the use of SVMs to recognize handwritten numerical strings. Such a
problem is more complex than recognizing isolated digits since one must deal with problems …

For the first time, a genetic framework using contextual knowledge is proposed for
segmentation and recognition of unconstrained handwritten numeral strings. New …

In this work, we propose the LoGID (Local and Global Incremental Learning for Dynamic
Selection) framework, the main goal of which is to adapt hidden Markov model-based …