This paper presents the latest results of handwritten digit recognition on well-known image databases using the state-of-the-art feature extraction and classification techniques. The tested databases are CENPARMI, CEDAR, and MNIST. On the test dataset of each database, 56 recognition accuracies are given by combining 7 classifiers with 8 feature vectors. All the classifiers and feature vectors give high accuracies. Among the features, the chain-code feature and gradient feature show advantages, and the profile structure feature shows efficiency as a complementary feature. In comparison of classifiers, the support vector classifier with RBF kernel gives the highest accuracy but is extremely expensive in storage and computation. Among the non-SV classifiers, the polynomial classifier performs best, followed by a learning quadratic discriminant function classifier. The results are competitive compared to previous ones and they provide a baseline for evaluation of future works.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Handwritten digit recognition using state-of-the-art techniques


    Beteiligte:
    Cheng-Lin Liu, (Autor:in) / Nakashima, K. (Autor:in) / Sako, H. (Autor:in) / Fujisawa, H. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    398288 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Handwritten Digit Recognition Using State-of-the-Art Techniques

    Liu, C. / Nakashima, K. / Sako, H. et al. | British Library Conference Proceedings | 2002


    Graph-based handwritten digit string recognition

    Filatov, A. / Gitis, A. / Kil, I. | IEEE | 1995


    Fourier descriptors and handwritten digit recognition

    Lu, Y. / Schlosser, S. / Janeczko, M. | British Library Online Contents | 1993


    Graph-Based Handwritten Digit String Recognition

    Filatov, A. / Gitis, A. / Kil, I. | British Library Conference Proceedings | 1995