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Erschienen in:
A Hybrid Scatter Search Algorithm to Solve the Capacitated Arc Routing Problem with Refill Points Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

An Efficient Face Recognition System with Liveness and Threat Detection for Smartphones

verfasst von : Kamlesh Tiwari, Suresh Kumar Choudhary, Phalguni Gupta

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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Abstract

This paper proposes a face recognition system with liveness and threat detection on smartphone. Liveness and under-threat situations are decided through eye-blinking and facial expressions. It is designed to handle resource constraints of mobile devices such as low processing power, limited memory, less battery power and low quality of images. It uses Uniform Extended Local Ternary Pattern (UELTP) features for the threat detection. Whereas, Uniform Local Binary Pattern (ULBP) and Binarized Hamming Distance (BHD) are used for liveness detection. The experiments have been conducted on three in-house databases called SmartBioVideo, SmartBioFace and SmartBioThreatFace. Results have found to be promising and time efficient.

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Vorheriges Kapitel Endpoint Detection and De-noising Method Based on Multi-resolution Spectrogram
Nächstes Kapitel Feature Extraction with Radon Transform for Block Matching and 3D Filtering
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Metadaten
Titel
An Efficient Face Recognition System with Liveness and Threat Detection for Smartphones
verfasst von
Kamlesh Tiwari
Suresh Kumar Choudhary
Phalguni Gupta
Copyright-Jahr
2016
Buch
Intelligent Computing Theories and Application

Print ISBN: 978-3-319-42293-0

Electronic ISBN: 978-3-319-42294-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42294-7_35