Abstract
In this paper we tackle the specific problem of handwritten underline removal. The presence of these underlines is very frequent even in rare books and its removal a desired goal of the National Libraries in their process of building digital libraries. Two different techniques are applied and compared. One is based on mathematical morphology and the other on a recent published technique for line detection. Both were applied to books of XVI Century and the results evaluated.
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Ribeiro, C.S., Gil, J.M., Caldas Pinto, J.R., Sousa, J.M.: Ancient document recognition using fuzzy methods. In: Proceedings of the 4th international Workshop on Pattern Recognition in Information Systems, Porto, Portugal, pp. 98–107 (2004)
Ribeiro, C.S., Gil, J.M., Caldas Pinto, J.R., Sousa, J.M.: Ancient word indexing using fuzzy methods. In: Proceedings of the 4th international Workshop on Pattern Recognition in Information Systems, Porto, Portugal, pp. 210–215 (2004)
ABBYY FineReader Homepage, http://www.abbyy.com ABBYY Software House
Shapiro, L.G., Stockman, G.C.: Computer Vision. Prentice Hall, New Jersey (2001)
Guru, D.S., Shekar, B.H., Nagabhushan, P.: A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recognition Letters 25(1), 1–13 (2004)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, London (1982)
Agam, G., Dinstein, I.: Adaptive directional morphology with application to document analysis. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds.) Mathematical Morphology and its Applications to Image and Signal Processing, pp. 401–408. Kluwer Acad. Pub., Boston (1996)
Cumplido, M., Montolio, P., Gasull, A.: Morphological preprocessing and binarization for OCR systems. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds.) Mathematical Morphology and its Applications to Image and Signal Processing, Kluwer Academic Publishers, Boston (1996)
Hasan, Y., Karam, L.: Morphological text extraction from images. IEEE Transactions on Image Processing 9(11), 1978–1982 (2000)
Mengucci, M., Granado, I.: Morphological segmentation of text and figures in Renaissance books (XVI Century). In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds.) Mathematical Morphology and its Applications to Image and Signal Processing, Boston, pp. 397–404. Kluwer Academic Publishers, Dordrecht (2000)
Beucher, S., Kozyrev, S., Gorokhovik, D.: Pré-traitement morphologique d’images de plis postaux. In: Actes CNED1996 - 4eme Colloque National Sur L’Écrit et le Document, Nantes, France, pp. 133–140 (1996)
Muge, F., Granado, I., Mengucci, M., Pina, P., Ramos, V., Sirakov, N., Caldas Pinto, J.R., Marcolino, A., Ramalho, M., Vieira, P., Amaral, A.M.: Automatic feature extraction and recognition for digital access of books of the Renaissance. In: Borbinha, J.L., Baker, T. (eds.) ECDL 2000. LNCS, vol. 1923, p. 1. Springer, Heidelberg (2000)
Soille, P., Talbot, H.: Directional Morphological Filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(11), 1313–1329 (2001)
Soille, P.: Morphological Image Analysis, 2nd edn. Springer, Berlin (2003)
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Pinto, J.R.C., Pina, P., Bandeira, L., Pimentel, L., Ramalho, M. (2004). Underline Removal on Old Documents. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_28
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DOI: https://doi.org/10.1007/978-3-540-30126-4_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23240-7
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