A Pratical Model to Simulate Human Handwriting and Its Application to Active Learning for Handwritten Character Recognition
This paper proposes a practical handwriting model to produce character patterns which resemble those written by a human. The practicability of the model has been examined by handwriting simulation and handwritten character recognition by a neural network built with the model. As a successful applica...
Gespeichert in:
Veröffentlicht in: | Denki Gakkai ronbunshi. C, Erekutoronikusu, joho kogaku, shisutemu Information and Systems, 1996/07/20, Vol.116(8), pp.936-942 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This paper proposes a practical handwriting model to produce character patterns which resemble those written by a human. The practicability of the model has been examined by handwriting simulation and handwritten character recognition by a neural network built with the model. As a successful application of the model, this paper also proposes a new efficient learning of a neural network for handwritten character recognition. Like human learning, the proposed learning acquires excellent recognition ability for unknown character patterns only from a small number of typical character patterns. The recognition rates exceed those by a conventional statistical method. This application not only provides an effective means for handwritten character recognition but also proves the validity of the proposed handwriting model. |
---|---|
ISSN: | 0385-4221 1348-8155 |
DOI: | 10.1541/ieejeiss1987.116.8_936 |