Software Development Framework for Real-Time Face Detection and Recognition in Mobile Devices

Software Development Framework for Real-Time Face Detection and Recognition in Mobile Devices

Authentication

Image processing

Wearable

Framework

JNI

OpenCV

Personal identity

Smart phones

With the rapid use of Android OS in mobile devices and related products, face recognition technology is an essential feature, so that mobile devices have a strong personal identity authentication. In this paper, we propose Android based software development framework for real-time face detection and recognition using OpenCV library, which is applicable in several mobile applications. Initially, the Gaussian smoothing and gray-scale transformation algorithm is applied to preprocess the source image. Then, the Haar-like feature matching method is used to describe the characteristics of the operator and obtain the face characteristic value. Finally, the normalization method is used to match the recognition of face database. To achieve the face recognition in the Android platform, JNI (Java Native Interface) is used to call the local Open CV. The proposed system is tested in real-time in two different brands of smart phones, and results average success rate in both devices for face detection and recognition is 95% and 80% respectively.

Rai, Laxmisha

Wang, Zhiyuan

Rodrigo, Amila

Deng, Zhaopeng

Liu, Haiqing

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 04 (2020); pp. 103-120

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2020-03-12

Copyright (c) 2020 Laxmisha Rai

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article