Considerable progress has been made in handwriting recognition technology over the last few years. Thus far, handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a lexicon during the recognition process. The capability of dealing with large lexicons, however, opens up many more applications. This article will discuss the methods and principles that have been proposed to handle large vocabularies and identify the key issues affecting their future deployment. To illustrate some of the points raised, a large vocabulary off-line handwritten word recognition system will be described
This paper discusses a probabilistic on-line handwriting recognition scheme, based on Hidden Markov ...
The problem of automatic recognition of scanned handwritten documents is of great significance in nu...
Nowadays, keyboards and mice are the basic input devices for personal computers. Nevertheless, these...
This paper reviews the current state of the art in handwriting recognition research. The paper deals...
This paper presents a writer independent system for large vocabulary recognition of on-line handwrit...
This paper presents a system for the oine recognition of large vocabulary unconstrained handwritten ...
Because of similar shape letters such as "v" and "u"; "k" and "h&...
This paper incorporates statistical language models into an on-line handwriting recognition system f...
The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In or...
Handwriting recognition is a process of recognizing handwritten text on a paper in the case of offli...
One of the most challenging and fascinating domains of pattern recognition is Handwritten recognitio...
National audienceIn this paper, we draw a panorama of research on the handwriting recognition, from ...
One of the most challenging and fascinating domains of pattern recognition is Handwritten recognitio...
Language models have been extensively used in natural language applications such as speech recogniti...
This thesis describes research work undertaken by the author from October 1988 to September 1992 con...
This paper discusses a probabilistic on-line handwriting recognition scheme, based on Hidden Markov ...
The problem of automatic recognition of scanned handwritten documents is of great significance in nu...
Nowadays, keyboards and mice are the basic input devices for personal computers. Nevertheless, these...
This paper reviews the current state of the art in handwriting recognition research. The paper deals...
This paper presents a writer independent system for large vocabulary recognition of on-line handwrit...
This paper presents a system for the oine recognition of large vocabulary unconstrained handwritten ...
Because of similar shape letters such as "v" and "u"; "k" and "h&...
This paper incorporates statistical language models into an on-line handwriting recognition system f...
The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In or...
Handwriting recognition is a process of recognizing handwritten text on a paper in the case of offli...
One of the most challenging and fascinating domains of pattern recognition is Handwritten recognitio...
National audienceIn this paper, we draw a panorama of research on the handwriting recognition, from ...
One of the most challenging and fascinating domains of pattern recognition is Handwritten recognitio...
Language models have been extensively used in natural language applications such as speech recogniti...
This thesis describes research work undertaken by the author from October 1988 to September 1992 con...
This paper discusses a probabilistic on-line handwriting recognition scheme, based on Hidden Markov ...
The problem of automatic recognition of scanned handwritten documents is of great significance in nu...
Nowadays, keyboards and mice are the basic input devices for personal computers. Nevertheless, these...