Camera-based character recognition has a possibility to realize a variety of applications and has been paid attention. However, character images are often taken from different angles and characters tend to be distorted. In such a case, recognition accuracy becomes worse. Therefore, we must find some methods to deal with this problem. In this paper, we experimentally evaluate some affine-invaria...

In this paper we present the GRUHD database of Greek characters, text, digits, and other symbols in unconstrained handwriting mode. The database consists of 1,760 forms that contain 667,583 handwritten symbols and 102,692 words in total, written by 1,000 writers, 500 men and equal number of women. Special attention was paid in gathering data from writers of different age and educational level. ...

This paper describes how opt imal video preprocessor performance can be achieved using a software recogni t ion system and a set of control led exper iments. It basical ly involves opt imizing on a constant threshold and then using recognit ion logic designed f r om that threshold to optimize an adaptive threshold function or threshold operator. By using this technique, the video preprocessor c...

The importance of effectively retrieving OCR text has grown significantly in recent years. We provide a brief overview of work done to improve the effectiveness of retrieval of OCR text.

IMPROVING TEXT RECOGNITION IN IMAGES OF NATURAL SCENES

The problem of recognizing mathematical expressions differs significantly from the recognition of standard prose. While in prose significant constraints can be put on the interpretation of a character by the characters immediately preceding and following it, few such simple constraints are present in a mathematical expression. In order to make the problem tractable, effective methods of recogni...