Advances in handwriting recognition

Recent Advances in Handwriting Recognition

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 of character, word, numeral string, and setence recognition. In addition, the main new trends in the field of handwriting recognition are discussed and some important contributions are presented.

Handwriting Recognition

This paper describes the method to recognize offline handwritten characters. A robust algorithm for handwriting segmentation is described here with the help of which individual characters can be segmented from a selected word from a paragraph of handwritten text image which is given as input.

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Signatures in online handwriting recognition

We investigate the use of iterated integral signatures as a representation of handwritten characters for improved machine recognition, using data from Pendigits and Assamese. We compare methods for including information about pen-liftings in multi-stroke characters and show that the ink dimension is most useful. We show that much useful information is lost when moving to a rotationally-invarian...

Arabic Handwriting Recognition

This thesis explores a number of different techniques for use in the field of Arabic Handwriting Recognition. A review of previous work in the field is conducted, and then various techniques are explored in the context of classifying town names from the IFN/ENIT database. A baseline-finding algorithm using Principal Components Analysis is implemented, and the change in performance from reducing...