An efficient face verification method in a transformed domain

2007 ◽  
Vol 28 (7) ◽  
pp. 854-858 ◽  
Author(s):  
Marcos Faundez-Zanuy ◽  
Josep Roure ◽  
Virginia Espinosa-Duró ◽  
Juan Antonio Ortega
2018 ◽  
Vol 27 (02) ◽  
pp. 1850004
Author(s):  
Meng Wang ◽  
Zheng-Ping Hu ◽  
Shu-Huan Zhao ◽  
Zhe Sun ◽  
Mei Sun

Face security verification has been recognized as a cost sensitive classification problem. To deal with this problem, many cost sensitive classifiers have been proposed to alleviate the facial variation. However, no suficient attention is paid to the research on sparse representation cost sensitive face verification. In this paper, we proposed a coarse to find face security verification method, called cost sensitive face verification based on limited expression-pose pattern (CSFV_LEP) for security verification task. The main contributions of the proposed method are as follows: (1) a discrimination dictionary is established in a common way to discriminate whether visitor is an internal member; (2) a confirmation dictionary, which contains only limited expression-pose details, is used to confirm whether this is the correct classification. Meanwhile, we use adaptive weight matrix from similarity information to enhance the robustness of the two dictionaries. Experiments show that, the proposed method has high verifiable and ideal secure performance according to accuracy and efficiency, and contribute to reduce cost penalization during the sparse coding stages.


Author(s):  
Qi Chen ◽  
Li Yang ◽  
Dongping Zhang ◽  
Ye Shen ◽  
Shuying Huang

The video surveillance system based on face analysis has played an increasingly important role in the security industry. Compared with identification methods of other physical characteristics, face verification method is easy to be accepted by people. In the video surveillance scene, it is common to capture multiple faces belonging to a same person. We cannot get a good result of face recognition if we use all the images without considering image quality. In order to solve this problem, we propose a face deduplication system which is combined with face detection and face quality evaluation to obtain the highest quality face image of a person. The experimental results in this paper also show that our method can effectively detect the faces and select the high-quality face images, so as to improve the accuracy of face recognition.


Author(s):  
M. D. Vaudin ◽  
J. P. Cline

The study of preferred crystallographic orientation (texture) in ceramics is assuming greater importance as their anisotropic crystal properties are being used to advantage in an increasing number of applications. The quantification of texture by a reliable and rapid method is required. Analysis of backscattered electron Kikuchi patterns (BEKPs) can be used to provide the crystallographic orientation of as many grains as time and resources allow. The technique is relatively slow, particularly for noncubic materials, but the data are more accurate than any comparable technique when a sufficient number of grains are analyzed. Thus, BEKP is well-suited as a verification method for data obtained in faster ways, such as x-ray or neutron diffraction. We have compared texture data obtained using BEKP, x-ray diffraction and neutron diffraction. Alumina specimens displaying differing levels of axisymmetric (0001) texture normal to the specimen surface were investigated.BEKP patterns were obtained from about a hundred grains selected at random in each specimen.


2020 ◽  
Vol 8 (1) ◽  
pp. 87-97
Author(s):  
Nana Diana ◽  
Tati Apriani

This study aims to examine the influence of investment returns and Risk Based Capital (RBC) Tabarru Funds to the profit of sharia life insurance in Indonesia from 2014-2019. This study The type of this research is quantitative research with descriptive verification as a method. This research method uses descriptive verification method with quantitative approach. The data used in this study were sourced from the financial statements of Islamic life insurance companies in Indonesia for the 2014-2019 period. Then the data obtained were analyzed using multiple linear regression analysis and hypothesis testing consisting of t test and f test with the help of SPSS 21 software. The sampling technique uses non probability sampling with purposive sampling technique. Based on the results of the study it can be seen that the development of investment returns on Sharia Life Insurance in Indonesia has fluctuated and even suffered losses. While the development of Risk Based Capital (RBC) has increased and decreased but overall above 120% as determined by the government. Likewise, the profits earned in each year fluctuate. The results of statistical tests show that investment results partially have a positive effect on profit and Risk Based Capital (RBC) of Tabarru funds partially has a negative effect on profit. Simultaneously investment return and Risk Based Capital (RBC) affect on profit. In addition, the results of the coefficient of determination (R2) were obtained which obtained a value of 81%. This shows that the variable investment returns and Risk Based Capital (RBC) can affect earnings by 81% and the remaining 19% is influenced by other variables not used in this study.


2020 ◽  
Vol 32 ◽  
pp. 03038
Author(s):  
Mukul Rane ◽  
Shubham Singh ◽  
Rohan Singh ◽  
Vidhate Amarsinh

Blockchain has a strong capacity to monitor and retain educational records. The paperless future has yet to become a reality, even with the ability to digitally generate documents. Physical copy of records are still regularly printed which makes them susceptible to document fraud. Thus, the issue of fake certificates and academic records has risen drastically. In this paper, we have made a reliable verification method to avoid academic frauds. The idea presented here is developed over Hyperledger. The University or The Educational Institute is responsible for issuing the certificates, mark-sheets, transcripts, etc. and mining it over the blockchain. The student is provided with the hash number which is the reference number. This number serves the reference of the data. The Organization or the Industry Personal using the hash number checks for the integrity of the submitted document. The present study discusses about importance of block chain and it’s applicability especially for the applications like verification of Academic Records.


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