1. Trang chủ
  2. » Luận Văn - Báo Cáo

Nhận dạng vân mạch máu lòng bàn tay dựa vào đặc trưng hướng đường vân cục bộ và đặc trưng sift cải tiến

75 10 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 75
Dung lượng 2,32 MB

Nội dung

Ngày đăng: 01/07/2021, 22:31

Nguồn tham khảo

Tài liệu tham khảo Loại Chi tiết
[69] Timo Ahonen, Abdenour Hadid, Matti Pietikọinen, "Face Recognition with Local Binary Patterns", 2004, Computer Vision - ECCV, pp. 469-481 Sách, tạp chí
Tiêu đề: Face Recognition with Local Binary Patterns
[70] T. Ojala, M. Pietikainen, T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns", 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 971-987 Sách, tạp chí
Tiêu đề: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
[72] M Heikkila, M Pietikainen, "A texture-based method for modeling the background and detecting moving objects", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, pp.657-662 Sách, tạp chí
Tiêu đề: A texture-based method for modeling the background and detecting moving objects
[1] VISA. Consumers ready to switch from passwords to biometrics, study shows. Research conducted by AYTM Market Research, among adult consumers who use at least one credit card, debit card, and/or mobile pay., 2018. Accessed May 2018 Khác
[2] S. Prabhakar, S. Pankanti, and A. K. Jain. Biometric Recognition: Security and Privacy Concerns. IEEE Security & Privacy, 1(2):33–42, 2003 Khác
[3] S. Furnell. From Passwords to Biometrics - In Pursuit of a Panacea. In O. Camp, E. Weippl, C. Bidan, and E. Aùmeur, editors, Information Systems Security and Privacy, pages 3–15. Springer International Publishing, 2015 Khác
[5] L. Vasiu. Biometric Recognition - Security and Privacy Concerns. In ICETE 2004, 1st International Conference on E-Business and Telecommunication Networks, Setúbal, Portugal, August 24-28, 2004, Proceedings, page 3, 2004 Khác
[6] A. Abaza, A. Ross, C. Hebert, M. A. F. Harrison, and M. S. Nixon. A Survey on Ear Biometrics. ACM Comput. Surv., 45(2):22:1–22:35, 2013 Khác
[7] M. J. Burge and K. W. Bowyer, editors. Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, 2013. [33] Rahul, R.C., Cherian, M., Manu Mohan, C.M.: ‘A novel Mf-ldtp approach for contactless palm vein recognition’. 2015 Int. Conf. on Computing and Network Communications (CoCoNet), Trivandrum, India, December 2015, pp. 793–798 Khác
[34] Mirmohamadsadeghi, L., Drygajlo, A.: ‘Palm vein recognition with local texture patterns’, IET Biometrics, 2014, 3, (4), pp. 198–206 Khác
[35] Akbar, A.F., Wirayudha, T.A.B., Sulistiyo, M.D.: ‘Palm vein biometric identification system using local derivative pattern’. 2016 4th Int. Conf. on Information and Communication Technology (ICoICT), Bandung, Indonesia, May 2016, pp. 1–6 Khác
[36] Tome, P., Marcel, S.: ‘Palm vein database and experimental framework for reproducible research’. 2015 Int. Conf. of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, October 2015, pp. 1–7 Khác
[37] Piciucco, E., Maiorana, E., Campisi, P.: ‘Palm vein recognition using a high dynamic range approach’, IET Biometrics, 2018, 7, (5), pp. 439–446 Khác
[38] Srinithi, A., Goplalakrishnana, B.: ‘Personal identification based on dorsal palm blood vessel pattern by texture feature’. 2017 IEEE Int. Conf. on Electrical, Instrumentation and Communication Engineering (ICEICE), Karur, Tamilnadu, India, April 2017, pp. 1–5 Khác
[39] Kang, W., Wu, Q.: ‘Contactless palm vein recognition using a mutual foreground-based local binary pattern’, IEEE Trans. Inf. Forensics Secur., 2014, 9, (11), pp. 1974–1985, 49–52 Khác
[40] Pratiwi, A.Y., Budi, W.T.A., Ramadhani, K.N.: ‘Identity recognition with palm vein feature using local binary pattern rotation invariant’. Int. Conf. on Information and Communication Technology, Bandung, Indonesia, May 2016, pp. 1–6 Khác
[41] ManMohan Saxena, J., Teckchandani, K., et al.: ‘Palm vein recognition using local tetra patterns’. 2015 4th Int. Work Conf. on Bioinspired Intelligence (IWOBI), San Sebastian, Spain, June 2015, pp. 151–156 Khác
[42] Fronitasari, D., Gunawan, D.: ‘Palm vein recognition by using modified of local binary pattern (LBP) for extraction feature’. 2017 15th Int. Conf. on Quality in Research (QiR): Int. Symp. on Electrical and Computer Engineering, Nusa Dua, Bali, Indonesia, July 2017, pp. 18–22 Khác
[43] Aglio-Caballero, A., Ríos-Sánchez, B., Sánchez-Ávila, C., et al.: ‘Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition’. 2017 Int. Carnahan Conf. on Security Technology (ICCST), Madrid, Spain, October 2017, pp. 1–6 Khác
[44] Han, W.-Y., Lee, J.-C.: ‘Palm vein recognition using adaptive gabor filter’, Expert Syst. Appl., 2012, 39, (18), pp. 13225–13234 Khác

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN

w