FACE SPOOFING DETECTION BASED ON MULTI-SCALE COLOR INVERSION DUAL-STREAM CONVOLUTIONAL NEURAL NETWORK

Authors

  • B.Prashanthi , Aluri Harshitha , Sharanya Deekonda ,Likhitha

Keywords:

Face spoofing detection, Anti-spoofing, CASIA-FASD, REPLAY-ATTACK, Convolutional neural network.

Abstract

Facial recognition technology (FRT) is becoming standard issue. Face spoofing detection (also known as face liveness detection or face anti-spoofing) technology has been developed in response to the extraordinary issues faced by FRT as a result of the misuse of personal face images on social media. Low accuracy and generalizability may be issues with traditional face spoofing detection algorithms since they often rely on manually extracted attributes to differentiate between actual and phony faces

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References

L. Birla et al. PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofing Expert Systems with Applications (2022)H.-H. Chang et al. Face anti-spoofing detection based on multi-scale image quality assessment Image and Vision Computing (2022)

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Published

2023-12-24

How to Cite

B.Prashanthi , Aluri Harshitha , Sharanya Deekonda ,Likhitha. (2023). FACE SPOOFING DETECTION BASED ON MULTI-SCALE COLOR INVERSION DUAL-STREAM CONVOLUTIONAL NEURAL NETWORK . Pegem Journal of Education and Instruction, 13(4), 624–643. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4028

Issue

Vol. 13 No. 4 (2023): PEGEGOG

Section

Article

License

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