Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

A collection of different scripts is employed in writing languages throughout the world.
Character and numeral recognition of a particular script is a key area in the field of pattern …

This paper describes the Online Arabic handwritingrecognition competition held at ICDAR
2009. This firstcompetition uses the ADAB-database with Arabic onlinehandwritten words …

Recognition of handwritten characters is a challenging task because of the variability
involved in the writing styles of different individuals. In this paper we propose a quadratic …

In this paper we present a system towards the recognition of off-line handwritten characters
of Devnagari, the most popular script in India. The features used for recognition purpose are …

For quick access to new handwritten collections, current handwriting recognition methods
are too cumbersome. They cannot deal with the lack of labeled data and would require …

Recognition of handwritten characters of Indian script is difficult because of the presence of
many complex shaped compound characters (cluster characters) as well as variability …

This paper describes the Arabic handwriting recognition competition held at ICDAR 2007.
This second competition (the first was at ICDAR 2005) again uses the IFN/ENIT-database …

The paper deals with achievability of fault tolerant goals in a completely asynchronous
distributed system. Fischer, Lynch, and Paterson [FLP] proved that in such a system" …

In this article, the authors present an effort to recognize handwritten Gurumukhi place names
for use in postal automation. Five feature extraction techniques (zoning, horizontal peak …