Abstract
In this paper the outline of complete vein pattern recognition system is introduced. An innovative method for finger vein image binarization is given in detail. The main purposes in the developed method are: lower time consuming comparing to other methods, simplicity and promising results achievement in spite of working with low contrast images. Both the algorithm and the experimental results of the pattern extraction are presented in detail. The achieved results are compared with other binarization techniques to show the superiority of the worked out algorithm over the others. The algorithm has proved to be of less computational complexity and easier implementation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kono, M., Ueki, H., Umemura, S.: A New Method for the Identification of Individuals by Using of Vein Pattern Matching of a Finger. In: Fifth Symposium on Pattern Measurement, Yamaguchi, Japan (2000)
Sankur, B., Sezgin, M.: A Survey Over Image Thresholding Techniques And Quantitative Performance Evaluation. Journal of Electronic Imaging 13(1), 146–165 (2004)
Hong, J., Shuxu, G., Xueyan, L., Xiaohua, Q.: Vein Pattern Extraction Based on the Position-Gray-Profile Curve. Image and Signal Processing, CISP (2009)
Miura, N., Nagasaka, A., Miyatake, T.: Feature extraction of finger-vein patterns based on repeated Line cracking and its application to personal identification. Machine Vision and Applications (15), 194–203 (2004)
Tang, D., Huang, B., Li, R., Li, W.: A Person Retrieval Solution Using Finger Vein Patterns. In: 2010 20th International Conference on Pattern Recognition (ICPR), August 23-26, pp. 1269–1272 (2010)
Huang, B., Dai, Y., Li, R., Tang, D., Li, W.: Finger-vein Authentication Based on Wide Line Detector and Pattern Normalization. In: 20th International Conference on Pattern Recognition (ICPR), August 23-26, pp. 1269–1272 (2010)
Zhang, Z., Ma, S., Han, X.: Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvlets and Local Interconnection Structure Neural Network. In: The 18th International Conference on Pattern Recognition ICPR (2006)
Qian, X., Guo, S., Li, X., Zhong, F., Shao, X.: Finger-vein Recognition based on the Score Level Moment Invariants Fusion. In: International Conference on Computational Intelligence and Software Engineering. CiSE 2009, December 11-13, pp. 1–4 (2009)
Xueyan, L., Shuxu, G., Fengli, G., Ye, L.: Vein Pattern Recognitions by Moment Invariants. In: The 1st International Conference on Bioinformatics and Biomedical Engineering. ICBBE 2007, July 6-8, pp. 612–615 (2007)
Mulyono, D., Shi Jinn, H.: A Study of Finger Vein Biometric for Personal Identification. In: International Symposium on Biometrics and Security Technologies -ISBAS (April 2008)
Ding, Y., Zhuang, D., Wang, K.: A Study of Hand Vein Recognition Method. In: 2005 IEEE International Conference on Mechatronics and Automation, July 29-August 1, vol. 4, pp. 2106–2110 (2005)
http://www.thbcomponents.com/image/Sobel_operator_implementation_b9b9300e_0e92_44d4_a6a5_7cbd76414e.html (11.01.2011)
Tadeusiewicz, R., Korohoda, P.: Komputerowa analiza i przetwarzanie obrazów, Wydawnictwo Fundacji Postępu Telekomunikacji, Kraków (1997) (in Polish)
Wozniak, M., Zmyslony, M.: Designing fusers on the basis of discriminants – evolutionary and neural methods of training. In: Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds.) HAIS 2010. LNCS, vol. 6076, pp. 590–597. Springer, Heidelberg (2010)
Derrac, J., García, S., Herrera, F.: A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds.) HAIS 2009. LNCS, vol. 5572, pp. 557–564. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Waluś, M., Kosmala, J., Saeed, K. (2011). Finger Vein Pattern Extraction Algorithm. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds) Hybrid Artificial Intelligent Systems. HAIS 2011. Lecture Notes in Computer Science(), vol 6678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21219-2_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-21219-2_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21218-5
Online ISBN: 978-3-642-21219-2
eBook Packages: Computer ScienceComputer Science (R0)