An Interferometric Optical Fiber Perimeter Security System Based on Multi-domain Feature Fusion and SVM

2021 ◽  
pp. 1-1
Author(s):  
Jiabin Shi ◽  
Ke Cui ◽  
Hailin Wang ◽  
Zhongjie Ren ◽  
Rihong Zhu
Author(s):  
Prasad A. Jagdale ◽  
Sudeep D. Thepade

Nowadays the system which holds private and confidential data are being protected using biometric password such as finger recognition, voice recognition, eyries and face recognition. Face recognition match the current user face with faces present in the database of that security system and it has one major drawback that it never works better if it doesn’t have liveness detection. These face recognition system can be spoofed using various traits. Spoofing is accessing a system software or data by harming the biometric recognition security system. These biometric systems can be easily attacked by spoofs like peoples face images, masks and videos which are easily available from social media. The proposed work mainly focused on detecting the spoofing attack by training the system. Spoofing methods like photo, mask or video image can be easily identified by this method. This paper proposed a fusion technique where different features of an image are combining together so that it can give best accuracy in terms of distinguish between spoof and live face. Also a comparative study is done of machine learning classifiers to find out which classifiers gives best accuracy.


2018 ◽  
Vol 47 (9) ◽  
pp. 922002
Author(s):  
李志辰 Li Zhichen ◽  
刘 琨 Liu Kun ◽  
江俊峰 Jiang Junfeng ◽  
马鹏飞 Ma Pengfei ◽  
李鹏程 Li Pengcheng ◽  
...  

1988 ◽  
Author(s):  
Chung-yee Leung ◽  
Cheng-hac Huang ◽  
I-fan Chang

2015 ◽  
Vol 33 (23) ◽  
pp. 4885-4890 ◽  
Author(s):  
Kun Liu ◽  
Miao Tian ◽  
Tiegen Liu ◽  
Junfeng Jiang ◽  
Zhenyang Ding ◽  
...  

2017 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Xiangdong Huang ◽  
Haojie Zhang ◽  
Kun Liu ◽  
Tiegen Liu ◽  
Yuedong Wang ◽  
...  

2020 ◽  
Vol 38 (20) ◽  
pp. 5783-5790
Author(s):  
Xiangdong Huang ◽  
Biyao Wang ◽  
Kun Liu ◽  
Tiegen Liu

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