scholarly journals Robotic Arm-Based Face Recognition Software Test Automation

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 37858-37868 ◽  
Author(s):  
Debdeep Banerjee ◽  
Kevin Yu
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 34075-34085 ◽  
Author(s):  
Debdeep Banerjee ◽  
Kevin Yu ◽  
Garima Aggarwal

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 23582-23590 ◽  
Author(s):  
Debdeep Banerjee ◽  
Kevin Yu ◽  
Garima Aggarwal

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0139827 ◽  
Author(s):  
David White ◽  
James D. Dunn ◽  
Alexandra C. Schmid ◽  
Richard I. Kemp

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Edgar Serna M. ◽  
Raquel Martínez M. ◽  
Paula Tamayo O.

2012 ◽  
Vol 224 ◽  
pp. 485-488
Author(s):  
Fei Li ◽  
Yuan Yuan Wang

Abstract: In order to solve the easily copied problem of images in face recognition software, an algorithm combining the image feature with digital watermark is presented in this paper. As watermark information, image feature of the adjacent blocks are embedded to the face image. And primitive face images are not needed when recovering the watermark. So face image integrity can be well confirmed, and the algorithm can detect whether the face image is the original one and identify whether the face image is attacked by malicious aim-such as tampering, replacing or illegally adding. Experimental results show that the algorithm with good invisibility and excellent robustness has no interference on face recognition rate, and it can position the specific tampered location of human face image.


2000 ◽  
Vol 25 (3) ◽  
pp. 66-66 ◽  
Author(s):  
Bradley S. Green

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