This article presents an elegant technique for extracting the low-level stroke features, such
as endpoints, junction points, line elements, and curve elements, from offline printed text …

This paper presents a method of extracting and identifying the high-level strokes from the off-
line printed Gujarati characters. The ability to provide incremental definition of characters as …

Strokes are the most natural way of describing the character formation; although most of the
researcher uses transform based features for recognition of offline text. The stroke base …

Handwriting recognition is a technique that converts handwritten characters into a machine-
processable format. Handwritten characters can either be presented to machine online or …

This paper presents extraction and identification of the high-level stroke (HLS) from printed
Gujarati characters. The HLS feature describes a character as a sequence of predefined …

This paper presents a Structural feature based method for classification of printed Gujarati
characters. The ability to provide incremental definition of characters in terms of its native …

This framework gives a detailed research on recognizing Tamil handwritten characters using
locational and directional approaches embedded with different combinations of zone and …

A comprehensive Arabic handwritten text database is an essential resource for Arabic
handwritten text recognition research. This is especially true due to the lack of such …

Writing which has been the most natural method of collecting, storing and transmitting
information through the centuries, now serves not only for the communication among …

Handwritten character recognition of the Marathi language is a challenging task because
characters are complex in structure. 31320 samples of characters from different writers have …