Autor(en)
Hassan, Ehtesham; Chaudhury, Santanu; Gopal, M; Dholakia, Jignesh
Titel
Use of MKL as symbol classifier for Gujarati character recognition
Teil von
  • Proceedings of the 9th IAPR International Workshop on document analysis systems, 2010-06-09, p.255-262
Ort / Verlag
ACM
Links zum Volltext
Quelle
ACM Digital Library
Beschreibungen
The present work is part of ongoing effort to improve the performance of Gujarati character recognition. In the recent advancement in kernel methods, the novel concept of multiple kernel learning(MKL) has given improved results for many problems. In this paper, we present novel application of MKL for Gujarati character recognition. We have applied three different feature representations for symbols obtained after zone wise segmentation of Gujarati text. The MKL based classification is proposed, where the MKL is used for learning optimal combination of different features for classification. In addition MKL based classification results for different features is also presented. The multiclass classification is performed in Decision DAG framework. The comparison results in 1-Vs-1 framework and using KNN classifier is also presented. The experiments have shown substantial improvement in earlier results.
Format
Sprache(n)
Englisch
Identifikator(en)
ISBN: 1605587737
ISBN: 9781605587738
DOI: 10.1145/1815330.1815363
Links zum Inhalt
Schlagwörter
character recognition, multiple kernel learning
Systemstelle
Signatur

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