Abstract
In order to solve the letter skeleton problem with handwriting-like attributes, a thinning model is used in this paper. By introducing improved reservation and eliminating produces, additional pixels are constrained by thinning nearest pixels. In the experiment, the proposed method is compared with others in the literature English letters by using the one pass thinning algorithm (OPTA) and Hilditch methods. Empirical results show that the proposed model can thin handwriting-like skeleton in terms of reserving topology and eliminating extra pixels.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jawahar, C. V., Balasubramanian, A., Million, M., & Namboodiri, A. M. (2009). Retrieval of online handwriting by synthesis and matching. Pattern Recognition, 42(7), 1445–1457.
Cheng, J., Wang, J., Jiang, S., Zhou, Z.-H., & Hancock, E. (2011). Special edition on semi-supervised learning for visual content analysis and understanding”. Pattern Recognition, 44(10–11): 2242–2243.
Shang, L., Yi, Z., & Ji, L. (2007). Binary image thinning using autowaves generated by PCNN. Neural Processing Letters, 25(1), 49–62.
Xing-kui, F., Lin-yan, L., & Zu-quan, Y. (1999). A new thinning algorithm for finger print image. Journal of Image and Graphics, 4(10), 835–838.
Peter I. Rockett, “An Improved Rotation-Invariant Thinning Algorithm,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 10, pp. 1671–1674, Oct. 2005.
Jia, Yu., & Yaqin, Li. (2009). Improving Hilditch thinning algorithms for text image”. 2009 International Conference on E-Learning, E-Business. Enterprise information Systems and E-Government. pp. 76–79.
Imiya, A., & Saito, M. (2006). Thinning by curvature flow. Journal of Visual Communication and Image Representation, 17(1), 27–41.
Ravi, J., Raja, K. B., & Venugopal, K. R. (2009). Fingerprint recognition using minutiae score matching. International Journal of Engineering Science and Technology, 1, 35–42.
Bag, S., & Harit, G. (2011). An improved contour-based thinning method for character images. Pattern Recognition Letters, 32(11), 1836–1842.
Jinhai, C. (2012). Robust filtering-based thinning algorithm for pattern recognition. The Computer Journal, 55(7), 887–896.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhu, S., Yang, J., Zhu, Xf. (2014). A Thinning Model for Handwriting-Like Image Skeleton. In: Wong, W.E., Zhu, T. (eds) Computer Engineering and Networking. Lecture Notes in Electrical Engineering, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-319-01766-2_79
Download citation
DOI: https://doi.org/10.1007/978-3-319-01766-2_79
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01765-5
Online ISBN: 978-3-319-01766-2
eBook Packages: EngineeringEngineering (R0)