• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Design of Image Recognition Module for Face and Iris Area based on Pixel with Eye Blinking


Mingoo Kang, Journal of Internet Computing and Services, Vol. 18, No. 1, pp. 21-26, Feb. 2017
10.7472/jksii.2017.18.1.21, Full Text:
Keywords: Eye blinking, Face/Iris area recognition, USB-OTG interface, Frame pixel differential value, Camera module

Abstract

In this paper, an USB-OTG (Uiversal Serial Bus On-the-go) interface module was designed with the iris information for personal identification. The image recognition algorithm which was searching face and iris areas, was proposed with pixel differences from eye blinking after several facial images were captured and then detected without any activities like as pressing the button of smart phone. The region of pupil and iris could be fast involved with the proper iris area segmentation from the pixel value calculation of frame difference among the images which were detected with two adjacent open-eye and close-eye pictures. This proposed iris recognition could be fast processed with the proper grid size of the eye region, and designed with the frame difference between the adjacent images from the USB-OTG interface with this camera module with the restrict of searching area in face and iris location. As a result, the detection time of iris location can be reduced, and this module can be expected with eliminating the standby time of eye-open.


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Cite this article
[APA Style]
Kang, M. (2017). Design of Image Recognition Module for Face and Iris Area based on Pixel with Eye Blinking. Journal of Internet Computing and Services, 18(1), 21-26. DOI: 10.7472/jksii.2017.18.1.21.

[IEEE Style]
M. Kang, "Design of Image Recognition Module for Face and Iris Area based on Pixel with Eye Blinking," Journal of Internet Computing and Services, vol. 18, no. 1, pp. 21-26, 2017. DOI: 10.7472/jksii.2017.18.1.21.

[ACM Style]
Mingoo Kang. 2017. Design of Image Recognition Module for Face and Iris Area based on Pixel with Eye Blinking. Journal of Internet Computing and Services, 18, 1, (2017), 21-26. DOI: 10.7472/jksii.2017.18.1.21.