Application of mydriasis identification methods in parental control systems

Barkovska, Olesia; Axak, Natalia; Rosinskiy, Dmytro; Liashenko, Serhii

doi:10.1109/dessert.2018.8409177

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The described systems use the methods of individual biometric verification and identification, which are based on the unique human biological characteristics (HBC) [1,2], which can be classified into two big subgroups -statistical (fingerprints, facial geometry, palm geometry, palm vein pattern, eye retina, DNA), and dynamic (signature, voice, tenue, typing speed and strength, handwriting, cardiac rhythm) (Figure 2) [3]. The main requirements to the MBA systems are:…”

Section: Introductionmentioning

confidence: 99%

System of Individual Multidimensional Biometric Authentication

Olesia¹

2019

IJETER

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The article is devoted to solving the problem of multidimensional biometric authentication on the base of combination of several biometric indicators -fingerprints, facial geometry and voice. The indicators applied in the proposed system are the most accessible source of biometric credentials as well as provides for the compliance to such requirements to identification and authentication systems as noninvasive data acquisition for the analysis, relative inexpensiveness and compactness / portability of the system under development. The proposed approach implemented in the hardware and software suite described in the work has an advantage over the existing unifactorial biometric authentication approaches by such indicators as FRR and FAR and is also easy in use. The result of the proposed individual multidimensional biometric authentication system is the increase in overall reliability compared to the separate use of the current methods as well as a relatively small increase in the system response delivery time (from data input in the system to namely identification).

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Section: Introductionmentioning

confidence: 99%

System of Individual Multidimensional Biometric Authentication

Olesia¹

2019

IJETER

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Model of the Internet Traffic Filtering System to Ensure Safe Web Surfing

Serdechnyi

Barkovska

Rosinskiy

et al. 2019

Advances in Intelligent Systems and Computing

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Age Based Content Controlling System Using AI for Children

Sangeetha,

Mythili,

et al. 2024

EAI Endorsed Trans IoT

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Age detection has gotten a lot of attention in recent years because it is being used in more and more sectors. Regulations and norms imposed by the government, security measures, interactions between humans and computers, etc. Facial features and fingerprints are two of the most common human characteristics that may shift or alter throughout time. The nose, on the other hand, maintains a consistent structure that does not alter with the passage of time and possesses the singular capacity to fulfil the prerequisites of biometric attributes. This study gives a comprehensive review of how deep learning algorithms may be used to easily extract aspects of the human nose. In specifically, convolutional neural networks, also known as CNNs, are utilised for the purpose of feature extraction and classification when applied to big datasets that have numerous layers. The proposed methodology collects more private children's datasets, which contributes to a rise in the total number of datasets, which ultimately results in a rise in the 98.83 percent accuracy achieved. The results of this survey may be used to limit the material that is shared on social media by determining the age range of the participants, from under 18 to 18 and older.

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Application of mydriasis identification methods in parental control systems

Cited by 3 publications

References 9 publications

System of Individual Multidimensional Biometric Authentication

System of Individual Multidimensional Biometric Authentication

Model of the Internet Traffic Filtering System to Ensure Safe Web Surfing

Age Based Content Controlling System Using AI for Children

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