Abstract
Over time, with the advancement of technology and the number of devices increasing to be launched in the market, namely smartphones, tablets, hybrids and laptops, it is essential to have advances in digital security and in forms of authentication. These forms of authentication have become increasingly. This article presents a system consisting of a web platform and a mobile application for android, with the objective of supporting researchers in the development, improvement and testing of facial recognition and iris recognition algorithms. This system will store large quantities of images sent voluntarily, obeying the particularities of studies defined by researchers to which users adhere, these images are taken in environments with different characteristics, considering several accessories and in several places, in order to increase the number of cases of possible analyzes for development and/or use of recognition algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abdel-Kader, R.F., Atta, R., El-Shakhabe, S.: An efficient eye detection and tracking system based on particle swarm optimization and adaptive block-matching search algorithm. Eng. Appl. Artif. Intell. 31, 90–100 (2014)
Adwan, S., Arof, H.: Modified integral projection method for eye detection using dynamic time warping. Int. J. Innov. Comput. Inf. Control 8(1A), 187–200 (2012)
Bhoi, N., Mohanty, M.N.: Template matching based eye detection in facial image. Int. J. Comput. Appl. 12(5), 15–18 (2010)
Hassaballah, M., Murakami, K.: An automatic eye detection method for gray intensity facial images. Int. J. Comput. Sci. Issues (IJCSI) 8(2), 272–282 (2011)
Jung, C., Sun, T., Jiao, L.: Eye detection under varying illumination using the retinex theory. Neurocomputing 113, 130–137 (2013)
Liu, H., Liu, Q.: Robust real-time eye detection and tracking for rotated facial images under complex conditions. In: Proceedings of the 2010 6th International Conference on Natural Computation, ICNC 2010, vol. 4, no. ICNC, pp. 2028–2034 (2010)
Nanni, L., Lumini, A.: Combining face and eye detectors in a high-performance face-detection system. IEEE Multimedia 19(4), 20–27 (2012)
Orman, Z., Battal, A., Kemer, E.: A study on face, eye detection and gaze estimation. Int. J. Comput. Sci. Eng. Surv. 2(3), 29–46 (2011)
Park, C.W., Park, K.T., Moon, Y.S.: Eye detection using eye filter and minimisation of NMF-based reconstruction error in facial image. Electron. Lett. 46(2), 130 (2010)
Soetedjo, A.: Eye detection based-on color and shape features. Int. J. Adv. Comput. Sci. Appl. 3(5), 17–22 (2013)
Wu, Y., Ji, Q.: Learning the deep features for eye detection in uncontrolled conditions. In: Proceedings of the International Conference on Pattern Recognition, pp. 455–459 (2014)
Thomas, T., George, A., Devi, K.P.I.: Effective iris recognition system. Procedia Technol. 25, 464–472 (2016)
Daugman, J.: New methods in IRIS recognition. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 37(5), 1167–1175 (2007)
Wildes, R.P.: Iris recognition: an emerging biometric technology. Proc. IEEE 85(9), 1348–1363 (1997)
Verma, S.J., Saxena, D., Gautam, R., Kaushal, L.: IRIS recognition system. Int. J. Eng. Adv. Technol. 2(6), 239–244 (2017)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Esteves, A., Jesus, J., Oliveira, Â., Fidalgo, F. (2020). RecogApp - Web and Mobile Application to Recognition Support. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_99
Download citation
DOI: https://doi.org/10.1007/978-3-030-27928-8_99
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27927-1
Online ISBN: 978-3-030-27928-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)