Abstract
This paper presents a new system for handwriting documents denoising and indexing. This work is based on the Hermite Transform, which is a polynomial transform and a good model of the human visual system (HVS). We use this transformation to decompose handwriting documents into local frequencies and using this decomposition, we analyze the visual aspect of handwritings to compute similarity measures. A direct application is the management of document databases, allowing to find documents coming from the same author or to classify documents containing handwritings that have similar visual aspect. Moreover, ancient documents can contain degradations from different origins. It is often necessary to clean the backgrounds of those degraded documents before analysing them. The current results are very promising and show that it is possible to characterize handwritten drawings without any a priori graphemes segmentation.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bovik, A.C., Clark, M., Geisler, W.S.: Multichannel texture analysis using localized spatial filters. IEEE Trans. Pattern Analysis Mach. Intell. 12, 55–73 (1990)
Franke, K., Koppen, M.: A computer-based system to support forensic studies on handwritten documents. Int. Jour. Doc. Anal. Reco. 3, 218–231 (2001)
GALLICA: digital library of the BNF, http://gallica.bnf.fr
Grigorescu, S.E., Petkov, N., Kruizinga, P.: Comparison of texture features based on Gabor filters. IEEE Trans. Image Processing 11, 1160–1167 (2002)
Leedham, G., Varmas, S., Patnkar, A., Govindaraju, V.: Separating text and background in degraded document images- a comparison of global thresholding techniques for multi-stage thresholding. In: Proceedings of the 8th inter. Workshop on frontiers in handwriting recognition, pp. 244–249 (2002)
Martens, J.-B.: The Hermite transform – Theory. IEEE Trans. Acoust. Speech, Signal Processing 38(9), 1595–1606 (1990)
Randen, T., Husøy, J.H.: Filtering for texture classification: A comparative study. IEEE Trans. Pattern Analysis Mach. Intell. 21, 291–310 (1999)
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)
Sharma, S.: Show-through cancellation in scans of duplex printed documents. IEEE Trans. Image Process, 10(5), 736–754
Strouthopoulos, C., Papamarkos, N.: Image and Vision Computing. Text identification for document image analysis using a neural network 16, 879–896 (1998)
Tonazzini, A., Bedini, L., Salerno, E.: Independant component analysis for document restoration. Inter. Jour. on Doc. Anal. and Reco. 7(1), 17–27 (2004)
Wu, P., Manjunath, B.S., Newsam, S., Shin, H.D.: A texture descriptor for browsing and similarity retrieval. Signal Proc.: Image Comm. 16(1,2), 33–43 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bres, S., Eglin, V., Rivero, C. (2005). Handwriting Documents Denoising and Indexing Using Hermite Transform. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Data Mining. ICAPR 2005. Lecture Notes in Computer Science, vol 3686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551188_73
Download citation
DOI: https://doi.org/10.1007/11551188_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28757-5
Online ISBN: 978-3-540-28758-2
eBook Packages: Computer ScienceComputer Science (R0)