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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
An Activation-Verification Model for On-Line Texts Recognition
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Loïc Oudot, Laboratoire des Instruments et Systèmes déIle de France
Lionel Prevost, Laboratoire des Instruments et Systèmes déIle de France
Maurice Milgram, Laboratoire des Instruments et Systèmes déIle de France

The multiplication of handheld devices using the pen (electronic book, tablet PC, PDA, smart phone. . . ) as a way of interaction, require an efficient recognition system in order to substitute both keyboard and mouse.

In this paper, we present a new writer-independent system dedicated to the automatic recognition of on-line texts. This system uses a very large French lexicon (200 000 words) which covers a vast field of application.

This recognition process is based on the activation-verification model proposed in perceptive psychology. A set of experts encodes the input signal and extract probabilistic informations at several levels of abstraction (geometrical and morphological). A neural expert generates a tree of segmentation hypotheses. This tree is explored by a probabilistic fusion expert that uses all the available informations (geometrical and lexical) in order to provide the best transcription of the input signal.

Index Terms:
Handwriting recognition, perceptive concept, data fusion, neural networks
Citation:
Loïc Oudot, Lionel Prevost, Maurice Milgram, "An Activation-Verification Model for On-Line Texts Recognition," iwfhr, pp.485-490, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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