Implementation of face recognition system using BioCryptosystem as template protection scheme

Sardar, Alamgir; Umer, Saiyed

doi:10.1016/j.jisa.2022.103317

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…Preparation: First of all, we use opencv to open the camera, which in this paper uses DroidCam to turn the Android device into a webcam, that is, the image taken by the front camera of the Android device is acquired, the resolution of the image is 640×480, and the frame number is 30 [10,11] .…”

Section: Methodsmentioning

confidence: 99%

Offset correction scheme for human eye positioning in naked eye 3D for Android

Wang

pan

chen

et al. 2023

International Workshop on Frontiers of Graphics and Image Processing (FGIP 2022)

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Naked-eye 3D imaging needs to call the cell phone camera to detect the position of the human eye, the front camera of the cell phone is a certain distance away from the center of the cell phone screen, so there is a certain offset between the front camera and the human eye position detected by the front camera and the cell phone screen, and the 3D image display is the center of the two eyes detected by the front camera when the human eye looks directly at the center of the cell phone screen as the origin to switch the image. Therefore, the human eye positioning offset problem will be solved by direct measurement method and formula derivation method.

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Section: Methodsmentioning

confidence: 99%

Offset correction scheme for human eye positioning in naked eye 3D for Android

Wang

pan

chen

et al. 2023

International Workshop on Frontiers of Graphics and Image Processing (FGIP 2022)

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“…в работе «Smart office automation via faster R-CNN based face recognition and internet of things» [8] демонстрируют предварительную архитектуру программного прототипа и экспериментируют с уже готовыми предобученными нейронными сетями для улучшения качества распознавания лиц. A. Sardar, S. Umer в работе «Implementation of face recognition system using BioCryptosystem as template protection scheme» [12] показывают пример создания отдельной системы авторизации и шифровки данных в системе управления базами данных (СУБД) с помощью биокриптографических технологий. Приняв к сведению указанные ограничения и технологии, можно выбирать способы взаимодействия между компонентами приложения.…”

Section: например S Mccourt I P L Mclaren C Civile в работе «Changing...unclassified

Creating a software prototype of the face recognition system for educational institutions on the "1C:Enterprise" platform

Barabash,

Panov

2023

Informatika i obrazovanie

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The use of information technology entails not only huge benefits but also a large number of new threats. One of the most dangerous of them is data leaks, as they undermine consumer confidence and can lead to business shutdowns. Educational organizations that use applications on the 1C platform in their work face a similar problem. The solution in this case may be to improve the authorization process by adding one more step to it — face recognition.For optimal design of this authorization method, it is necessary to develop the program architecture considering the current business requirements of educational organizations and to develop a software prototype ready for integration into current educational software solutions.The article provides an example of the above architecture and the application created on its basis. Further, they can be integrated into any system based on “1C:Enterprise”. To meet the requirements for the system, the most appropriate architecture is a “client — server” with a separate server dedicated to the database. Python programming language is used, network communication is organized according to REST principles using GET method and HTTP protocol, photo data transfer is in JSON format.

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