Fingerprint Image Quality Analysis Using TSK Model

Abdelwahed Motwakel Eltayeb


The quality of fingerprint image greatly affects the performance of minutiae extraction and the process of matching, thus to analysis fingerprint image quality many research was done. In this paper, we present a novel technique to analysis fingerprint image quality using fuzzy logic on the extracted four features which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the contrast.  The proposed fuzzy logic system uses Takagi-Sugeno Fuzzy Rule model which can analysis and determinate each fingerprint image type (oily, dry or neutral) based on the extracted feature values and fuzzy inference rules.

Full Text:



Zheng, Li, Han Zhi, and Fu Bo. "A Novel Method for the Fingerprint Image Quality Evaluation." In Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on, pp. 1-4. IEEE, 2009.

Alexey Saenko, Galina Polte, and Victor Musalimov, “Image Enhancement And Image Quality Analysis Using Fuzzy Logic Techniques” Communications (COMM), 2012 9th International Conference 21-23 June 2012. Publisher: IEEE.

Yun, Eun-Kyung, and Sung-Bae Cho. "Adaptive Fingerprint Image Enhancement with Fingerprint Image Quality Analysis." Image And Vision Computing 24.1 (2006): 101-110.

Syam, Rahmat, Mochamad Hariadi, and MauridhiHery Purnomo. "Determining the Standard Value of Acquisition Distortion of Fingerprint Images Based on Image Quality." ITB Journal of Information and Communication Technology, 4 (2), 115-132. (2010).

Syam, Rahmat, Mochamad Hariadi, and MauridhiHery Purnomo. "Determining the Dry Parameter of Fingerprint Image Using Clarity Score and Ridge-valley Thickness Ratio." IAENG International Journal of Computer Science 38, no. 4 (2011): 350-357.

Kukula, Eric, Stephen Elliott, Hakil Kim, and Cristina San Martin. "The Impact of Fingerprint Force on Image Quality and the Detection of Minutiae." In Electro/Information Technology, 2007 IEEE International Conference on, pp. 432-437. IEEE, 2007.

Li, Qing-Rong, and Mei Xie. "Measuring Fingerprint Image Quality Using the Fourier Spectrum" Journal of Electronic Science and Technology of China, Vol 5, NO 3, September 2007.

Modi, Shimon K., and Stephen J. Elliott. "Impact of Image Quality on Performance: Comparison of Young and Elderly Fingerprints." In Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC 2006), K. Sirlantzis (Ed.), pp. 449-45. 2006.

Mahashwari, Tarun, and Amit Asthana. "Image enhancement using fuzzy technique." International Journal of Research in Engineering Science and Technology 2, no. 2 (2013): 1-4.

Borkar, Abhradita Deepak, and Mithilesh Atulkar. "Fuzzy Inference System for Image Processing." International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 2, no. 3 (2013): pp-1007.

Matkovic, Kresimir, László Neumann, Attila Neumann, Thomas Psik, and Werner Purgathofer. "Global Contrast Factor-a New Approach to Image Contrast." Computational Aesthetics 2005 (2005): 159-168.



  • There are currently no refbacks.

© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.