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Handschrifterkennung

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Mensch-Maschine-Kommunikation

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Zusammenfassung

Neben der im Kapitel 5 behandelten Spracherkennung stellt auch die Handschrifterkennung eine wichtige Modalität für die moderne, am Menschen orientierte Mensch-Maschine-Kommunikation (MMK) dar [11]. Mittlerweile verfügen eine Vielzahl von Geräten über einen Touchscreen. Über diesen können auch handschriftliche Notizen in das Gerät eingegeben und von diesem entweder als Bitmap gespeichert oder direkt als Wörter erkannt werden. In diesem Kapitel werden die Vorverarbeitung, die Merkmalsextraktion und die Erkennung von Handschriftdaten erläutert.

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Authors and Affiliations

  1. Lehrstuhl für Mensch-Maschine-Kommunikation, Technische Universität München, Theresienstraße 90, 80333, München, Deutschland

    Dr.-Ing. Joachim Schenk & Prof. Dr. Gerhard Rigoll

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  1. Dr.-Ing. Joachim Schenk
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  2. Prof. Dr. Gerhard Rigoll
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Schenk, J., Rigoll, G. (2010). Handschrifterkennung. In: Mensch-Maschine-Kommunikation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05457-0_6

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