Improving person recognition by weight adaptation of soft biometrics

Gharghabi, Shaghayegh; Azari, Bita; Shamshirdar, Faraz; Safabakhsh, Reza

doi:10.1109/iccke.2016.7802112

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The use of biometrics in several surveillance applications such as human recognition or re-identification (Prakash et al, 2023). The difficulty of identifying people in varied positions is one of the main challenges modern person recognition techniques must overcome (Gharghabi et al, 2016). The development of a novel identification method known as soft biometrics is the result of substantial advancements made in the field of biometrics (Arigbabu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison Between Face and Gait Human Recognition Using Enhanced Convolutional Neural Network

Sadeq,

Al-Ta'i

2023

JAETS

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Identifying people at distance is an important task in daily life Because of the increase in terrorism. Biometrics is a better solution to overcome personal identity problems, and this applies to soft biometrics also. Soft biometric are features that can be extracted remotely and do not require cooperation with people. This paper introduces a comparison between human face recognition and human gait recognition using soft biometric features. Nine face attributes and nine gait attributes are taken from a dataset built by researchers. The constructed dataset is composed from (66) videos for (33) persons. Features are extracted using Haar and MediaPipe methods. The extracted features are classified using enhanced convolutional neural network. This work achieves an accuracy of 95.832% in human face recognition and an accuracy of 89.583% in human gait recognition. From the above results it turns out that the proposed method achieved promising results with regard to Recognize people remotely

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Section: Introductionmentioning

confidence: 99%

Comparison Between Face and Gait Human Recognition Using Enhanced Convolutional Neural Network

Sadeq,

Al-Ta'i

2023

JAETS

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“…Capacitors are used as one of the most economical methods for increasing the electrical power quality so that the optimal location of this element has a significant effect on the transmission power, the loss of lines, the voltage profile, and the reliability of the network [11][12][13][14]. Static voltage stability of grid in south-east Iran power system has been conducted in [15][16][17].…”

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confidence: 99%

Optimal Location of Distributed Generation Sources and Capacitance of Distribution Network to Reduce Losses, Improve Voltage Profile, and Minimizing the Costs Using Genetic and Harmonic Search Algorithm

Mansouri

Gholizadeh²

2018

IJSEA

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Reducing losses and improving the voltage profile have been the main objectives of electrical power system designers. One of the suggested solutions for achieving these goals is the use of parallel capacitors and distributed generation sources in distribution systems. A location that is optimized for DG installation may not be the best place to minimize losses in improving the system voltage profile. In this paper, determining the optimal location of the dispersed generation unit and the capacitive bank with the goal of optimizing a target function, including losses, improving the voltage profile, and the cost of investment in capacitors and dispersed production. In this paper, IEEE standard 33 buses is considered for simulation, and the results are obtained by using genetic and harmonic search algorithm indicate that DG optimization and capacitor with a target function in which the loss reduction and improvement of the voltage profile is considered to reduce costs, reduce losses, and improve the voltage profile, which are remarkable improvements.

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Improving person recognition by weight adaptation of soft biometrics

Cited by 2 publications

References 13 publications

Comparison Between Face and Gait Human Recognition Using Enhanced Convolutional Neural Network

Comparison Between Face and Gait Human Recognition Using Enhanced Convolutional Neural Network

Optimal Location of Distributed Generation Sources and Capacitance of Distribution Network to Reduce Losses, Improve Voltage Profile, and Minimizing the Costs Using Genetic and Harmonic Search Algorithm

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