Multiscale Handwriting Characterization for Writers’ Classification

  • Véronique Eglin
  • Stéphane Bres
  • Carlos Rivero
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)


In this paper, we propose a method for handwritten text characterization based on a multiscale and multiresolution drawing analysis. The approach lies on the definition of four complementary handwritten text visual dimensions: the macro and micro orientation (obtained with a frequencies multiscale image analysis), the text linearity (defined by the merge of connected components), the curvature (measured as a multiresolution high profile deformation) and the complexity (expressed as multiscale drawing distribution entropy). Each feature is studied in an evolution graph that can be expressed as a unique handwritten curve signature. It leads to a description in separable writers families having individual visual characteristics. The results are very promising.


Gabor Filter Text Line Multiscale Approach Evolution Graph Handwritten Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Eglin, V.: Contribution à la structuration fonctionnelle des documents, PhD thesis.: INSA de Lyon, p. 250 (1998)Google Scholar
  2. 2.
    Jain, A.K., Bhattacharjee, S.: Text segmentation using Gabor filters for automatic document processing. Machine Vision & Appli. 5(3), 169–184 (1992)CrossRefGoogle Scholar
  3. 3.
    Kuckuck, W.: Writer recognition by spectra analysis. In: Proc. Int. Conf. In Security through Science Engineering, pp. 1–3 (1980)Google Scholar
  4. 4.
    Martens, J.-B.: The Hermite transform – Theory. IEEE Trans. Acoust., Speech, Signal Processing 38(9), 1595–1606 (1990)zbMATHCrossRefGoogle Scholar
  5. 5.
    Nosary, A., Paquet, T., Heutte, L.: Reconnaissance de textes manuscrits par adaptation au scripteur. In: CIFED 2002, pp. 365–374.Google Scholar
  6. 6.
    Rivero-Moreno, C.J., Bres, S.: Conditions of similarity between Hermite and Gabor filters as models of the human visual system. In: Petkov, N., Westenberg, M.A. (eds.) CAIP 2003. LNCS, vol. 2756, pp. 762–769. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  7. 7.
    Said, H.E., Peake, G.S., Tan, T.N., Baker, K.D.: Writer Identification from Nonuniformly Skewed Handwriting Images. In: British Mach. Vision Conf. (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Véronique Eglin
    • 1
  • Stéphane Bres
    • 1
  • Carlos Rivero
    • 1
  1. 1.LIRISINSA de LyonVilleurbanne CedexFrance

Personalised recommendations