Face recognition and access control applications of the generative classifier pix2pix

Raghida El Saj; Ehsan Sedgh Gooya; Ayman Alfalou; Mohamad Khalil

doi:10.1117/12.2663380

13 June 2023 Face recognition and access control applications of the generative classifier pix2pix

Raghida El Saj, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil

Proceedings Volume 12527, Pattern Recognition and Tracking XXXIV; 1252708 (2023) https://doi.org/10.1117/12.2663380
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Identification of individuals based on their images has become increasingly important, to give access to certain users and to block the unknowns, in order to maintain security. A new access control approach based on facial recognition using the pix2pix generative classifier with a new decision making method was tested using the Olivetti Research Laboratory database. This approach requires a simple comparison between the generated data and the reference database using a predefined threshold. For the testing, a different number of individuals were excluded from the training database and the network was generally able to reject unknown individuals, recognize and identify individuals having access. Out of 200 unknowns, an average of 92.12% unknowns were rejected and the remaining 7.88% were considered known.

Conference Presentation

Citation Download Citation

Raghida El Saj, Ehsan Sedgh Gooya, Ayman Alfalou, and Mohamad Khalil "Face recognition and access control applications of the generative classifier pix2pix", Proc. SPIE 12527, Pattern Recognition and Tracking XXXIV, 1252708 (13 June 2023); https://doi.org/10.1117/12.2663380

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