New global information-bearing features improved the modeling of individual letters, thus diminishing the error rate of an HMM-based on-line cursive handwriting recognition system. This system also demonstrated the ability to recognize on-line cursive handwriting in real time. The BYBLOS continuous speech recognition system, a hidden Markov model (HMM) based recognition system, is applied to on...

This panel discussion was a follow-up to the first edition of the ICFHR series, which was promoted as an international conference after 10 intensive and productive editions of the International Workshop on Frontiers in Handwriting Recognition initiated in 1990 in Montreal. It is essential, however, to recall that research on handwritten character recognition began some 40 years ago, and was exp...

Artificial Handwriting Recognition (AHR) systems are currently developed in a largely ad hoc fashion. The central premise of this work is the need to return to first principles and identify an underlying rationale for the representations used in handwriting recognition. An interdisciplinary approach is advocated that combines the perspectives of cognitive science and pattern recognition enginee...

This paper presents a novel hybrid modeling technique that is used for the first time in Hidden Markov Modelbased handwriting recognition. This new approach combines the advantages of discrete and continuous Markov models and it is shown that this is especially suitable for modeling the features typically used in handwriting recognition. The performance of this hybrid technique is demonstrated ...

Handwriting has been conventionally used for input by applying handwriting recognition. In this paper we propose to use handwriting without recognition as a temporal medium of communication in synchronization with other media like audio and video. This ensures that the interfaces developed are language independent and provide rich, natural and intuitive interaction. We present multiple applicat...

Handwriting had been an excellent means to communication and documentation for thousands of years, and this chapter deals with handwriting recognition as a method of entering text into a computer. Handwriting is a learned skill, but because it has a long history and is learned in early school years, many consider it more natural than the alternative learned skill of text entry by either standar...

Cursive handwriting recognition is a challenging task for many real world applications such as document authentication, form processing, postal address recognition, reading machines for the blind, bank cheque recognition and interpretation of historical documents. Therefore, in the last few decades the researchers have put enormous effort to develop various techniques for handwriting segmentati...

Continuous handwriting input using the finger on small devices such as PDAs and mobile phones is difficult if not impossible. Also, handwriting input has always required significant attention from the user during the process of writing. In our previous work, we proposed the concept of ‘eyes-free writing’, a novel solution that addresses both the problems. In this paper, we describe the challeng...