Future of Face Recognition: A Review

Arya, Shwetank; Pratap, Neeraj; Bhatia, Karamjit

doi:10.1016/j.procs.2015.08.076

Cited by 57 publications

(23 citation statements)

References 31 publications

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“…Recognition systems that use infrared face images are classified by Arya et al [23] as (1) based on face recognition techniques in images with classical (holistic) methods; (2) based on feature extraction, and (3) based on the multimodal analysis. e system proposed in this study is based on feature extraction and was designed in three stages denoted as (1) generation of the bioheat transfer model; (2) fusion of thermograms with vascular networks; and (3) feature extraction.…”

Section: Methodsmentioning

confidence: 99%

Facial Recognition for Drunk People Using Thermal Imaging

Sancen-Plaza

Contreras-Medina

Barranco-Gutiérrez

et al. 2020

Mathematical Problems in Engineering

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Face recognition using thermal imaging has the main advantage of being less affected by lighting conditions compared to images in the visible spectrum. However, there are factors such as the process of human thermoregulation that cause variations in the surface temperature of the face. ese variations cause recognition systems to lose effectiveness. In particular, alcohol intake causes changes in the surface temperature of the face. It is of high relevance to identify not only if a person is drunk but also their identity. In this paper, we present a technique for face recognition based on thermal face images of drunk people. For the experiments, the Pontificia Universidad Católica de Valparaíso-Drunk ermal Face database (PUCV-DTF) was used. e recognition system was carried out by using local binary patterns (LBPs). e LBP features were obtained from the bioheat model from thermal image representation and a fusion of thermal images and a vascular network extracted from the same image. e feature vector for each image is formed by the concatenation of the LBP histogram of the thermogram with an anisotropic filter and the fused image, respectively. e proposed technique has an average percentage of 99.63% in the Rank-10 cumulative classification; this performance is superior compared to using LBP in thermal images that do not use the bioheat model.

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Section: Methodsmentioning

confidence: 99%

Facial Recognition for Drunk People Using Thermal Imaging

Sancen-Plaza

Contreras-Medina

Barranco-Gutiérrez

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The major challenge of face recognition is that it regards human faces, which may be similar or mutable, as biological features. Therefore, it was once considered to be one of the most difficult research topics in the field of artificial intelligence [29]. With the continuous improvement of intelligent recognition algorithms (e.g., feature-based recognition algorithms, appearance-based recognition algorithms, template-based recognition algorithms, and recognition algorithms using neural networks), the current face recognition technology has achieved high precision.…”

Section: Face Recognitionmentioning

confidence: 99%

“…They are equipped with a VLPR camera [28] and vehicle weight sensor [26] at their entrances and interconnected to the monitoring center through the Internet [27]. The vehicle and driver are mobile monitored objects, and each vehicle has an installed MDVR integrated with external devices [35], which are the GPS receiver for vehicle satellite positioning [31], a camera for driver face recognition and driving recording [29], digital interphones for communication between the driver and monitoring center, and sensors for the vehicle speed monitoring and vehicle tipping operation monitoring. The mobile network base station receives signals from the MDVR and interconnects with the monitoring center [33] through the telecommunication network.…”

Section: Physical Architecture Of Informatization Schemementioning

confidence: 99%

An Informatization Scheme for Construction and Demolition Waste Supervision and Management in China

2020

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China is in a development period of urbanization construction, while its environment is threatened by an increasing amount of construction and demolition (C&D) waste. Due to the excessive pursuit of profits and a general lack of environmental awareness of stakeholders, illegal behaviors such as illegal dumping universally exist in the waste disposal process. Meanwhile, supervision departments face many challenges in collaborative management and decision-making, which lead to inefficiencies in C&D waste supervision and management in China. To address the above challenges, we propose an informatization scheme integrating multiple technologies, which will contribute to real-time monitoring of illegal behaviors in the waste disposal process, accurate data collection for evaluating the performance of stakeholders, and the enhancement of the collaboration between supervisory departments. A case study of the Ningbo Construction Waste Transportation Supervision System is introduced to verify the feasibility and effectiveness of the proposed scheme; results show that the total number of illegal cases has decreased from 510 to 89 per year since the system was put into operation.

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“…Hardware level authentication requires devices and physical interaction. Thumb impression, retina & face detection and RFID based authentication etc all are the examples in this category [4][5][6][7]. Calculation based authentication involves broad range of algorithms, procedures, password based mechanisms and signature schemes etc [8][9][10].…”

Section: Authentication and Dynamic Routing Protocolsmentioning

confidence: 99%

Authentication Aspects of Dynamic Routing Protocols: Associated Problem & Proposed Solution

Shukla¹,

Chaturvedi²,

Srivastava³

2019

IJRTE

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Cryptography as a stream is very important for communication security. Cryptography provides many goals for communication security and authentication is one of them. Routing is an integral part of computer networks and router security is extremely important because routing provides suitable path to the traffic generated in the network. Authentication is very important for routing protocols. In this paper we discuss security flaws in routing authentication and provide a unique solution which is never presented to overcome this problem. We also discuss the security analysis of the proposed method which proves that the proposed method is robust in various aspects. The proposed method provides many advantages and the method is so simple that anybody can use it

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Future of Face Recognition: A Review

Cited by 57 publications

References 31 publications

Facial Recognition for Drunk People Using Thermal Imaging

Facial Recognition for Drunk People Using Thermal Imaging

An Informatization Scheme for Construction and Demolition Waste Supervision and Management in China

Authentication Aspects of Dynamic Routing Protocols: Associated Problem & Proposed Solution

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