The use of handwriting provides a natural way of interacting with small portable computers. However, in order to capture handwritten text on-line special input devices are necessary. Therefore, Munich & Perona [13] proposed to use visual input for pen-based computers. Writing can then be performed on ordinary paper and pen trajectories are automatically extracted from image sequences recorded d...

handwriting, matching, recognition, scribble Scribble matching is a form of partial handwriting recognition that allows like scribbles to be identified. In a companion paper [1] we describe a set of three algorithms which achieve high accuracy on this task. In this paper we address the issue of increasing the computational efficiency of these algorithms by over an order of magnitude to the poin...

A system for off-line handwritten text recognition is presented. It is characterized by a segmentation-free approach, i.e. whole lines of text are processed by the recognition module. The methods used for pre-processing, feature extraction, and statistical modelling are described, and several experiments on writer-independent, multiple writer, and single writer handwriting recognition tasks are...

This paper proposes a novel handwriting recognition interface for wearable computing where users write characters continuously without pauses on a small single writing box. Since characters are written on the same writing area, they are overlaid with each other. Therefore the task is regarded as a special case of the continuous character recognition problem. In contrast to the conventional cont...

This bachelor thesis investigates the use of the RWTH-OCR system on the French handwriting database RIMES. The RWTH-OCR system is based on the RWTH-ASR speech recognition system. The field of offline handwriting recognition is an open topic in research and in the past the RWTH-OCR system has been adapted to several languages as English or Arabic handwriting. The RWTH-OCR is a hidden Markov mode...

A way to do off-line handwriting recognition is to generate an equivalent on-line signal of a letter image and to use an on-line recognition system to recognize this letter. To do this, the drawing order has to be recovered using handwriting knowledge. Our approach to recover the drawing order consists in proposing several starting and ending points. Several paths are generated and the best one...

There are many things we humans have in common. But there are other things that are very unique to every individual DNA, fingerprints, etc. Handwriting is one other such thing that is unique to every individual, which the recent studies on Handwriting analysis have already proved. Although arguable is this issue, that handwriting can be mimicked and forgery becoming a huge issue, there is certa...

abstract In this paper, we present a new approach to unconstrained, oo-line handwriting recognition (hwr). It is based on the global plausibility estimation of a word knowing the local probability of each individual character. Having a set of character models issued from a training step and an input word pattern, we maximize for each word of the lexicon the sum of plausibilities of its componen...

Automated recognition of unconstrained handwriting continues to be a challenging research task. In contrast to the traditional role of handwriting recognition in applications such as postal automation, bank check reading etc, in this dissertation we explore the use of handwriting recognition for cyber security. HIPs (Human Interactive Proofs) are automatic reverse Turing tests designed so that ...

Handwriting word recognition has been researched many researchers. The most method used is Line based representation. However, it has a weakness, which is high cost to recognize object. In this research, line detection model is proposed to determine the right, left, top and bottom object boundary. In order to separate all of objects, the line detection has been conducted for segmentation iterat...