Noisy iris smoothing and segmentation scheme based on improved Wildes method

Author:

Kumawat Anchal,Panda SuchetaORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Reference41 articles.

1. Abdelwahed, H. J., Hashim, A. T., & Hasan, A. M. (2020). Segmentation approach for a noisy Iris images based on hybrid techniques. Engineering and Technology Journal, 38(11), 1684–1691.

2. Abdulwahid, H. J., Hashim, A. T., & Hassan, A. M. (2020). Segmentation approach for a noisy Iris images based on block statistical parameters. Journal of Physics: Conference Series, 1530, 012021.

3. Al-Taweel, H. S. R., Daway, G. H., & Kahmees, H. M. (2015). Deblurring average blur by using adaptive Lucy Richardson. Journal of College of Education, 5, 75–90.

4. Bhardwaj, S., & Mittal, A. (2012). A survey on various edge detector techniques. Procedia Technology, 4, 220–226.

5. Canny, J. F. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679–697.

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