Abstract
The method for acquiring fingerprint by using a linear fingerprint sensor comprises the steps of: capturing a fingerprint image sequentially through the fingerprint sensor; dividing scanned fingerprint image as a predetermined segments according to a constant time and speed; detecting the optimum overlap region by comparing each image strip and its segment with the next image strip; calculating the value of mean image variation through the overlap region; and mixing the entire image by applying the mean image variation value to each image strip.
According to the present invention, the method for acquiring fingerprints by a linear fingerprint sensor in accordance with the present invention can improve the correct recognition rate greatly by estimating and compensating for the scanned image by the fingerprint sensor and accurately restoring the same to the original image.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mario, D., Maltoni, D.: Direct Gray-Scale Minutiae Detection in Fingerprints. IEEE Trans. Pattern Analysis and Machine Intelligence 19(1), 27–39 (1997)
Hong, L., Wan, Y., Jain, A.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans. Pattern Analysis and Machine Intelligence 20(8), 777–789 (1998)
Jain, A.K., Hong, L., Bolle, R.: On-Line Fingerprint Verification. IEEE Trans. Pattern Analysis and Machine Intelligence 19(4), 302–313 (1997)
Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based fingerprint matching. IEEE Trans. on Image Processing 9(5), 846–859 (2000)
Nalini, K., Jain, A.K.: A Real-Time Matching System for Large Fingerprint Database. IEEE Trans. Pattern Analysis and Machine Intelligence 18(18), 799–813 (1996)
Jiang, X., Yau, W.-Y.: Fingerprint Minutiae Matching Based on the Local and Global Structures. In: International Conference on Pattern Recognition (ICPR 2000), September 2000, vol. 2(18), pp. 1038–1042 (2000)
Maeda, T., Matsushida, M., Sasakawa, K.: Identification Algorithm Using a Matching Score Matrix. IEICE Trans. INF. & SYST. E-84-D(7), 819–824 (2001)
Luo, X., Tian, J., Wu, Y.: A Minutia Matching algorithm in Fingerprint Verification. In: International Conference on Pattern Recognition (ICPR 2000), September 2000, vol. 4(18), pp. 4833–4841 (2000)
Stoszand, J.D., Alyea, L.A.: Automated Systems for Fingerprint Authentication Using Pores and Ridge Structure. In: Proceedings of SPIE, Automatic Systems for the Identification and Inspection of Humans (SPIE), San Diego, vol. 2277, pp. 210–223 (1994)
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
Kim, WS., Yoo, WH. (2005). A Method for Acquiring Fingerprint by Linear Sensor. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_57
Download citation
DOI: https://doi.org/10.1007/11554028_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
eBook Packages: Computer ScienceComputer Science (R0)