Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video

Refer the following link. It may be useful for you.

https://www.intechopen.com/books/recent_advances_in_face_recognition

https://www.gemalto.com/govt/biometrics/facial-recognition

https://arxiv.org/ftp/arxiv/papers/1404/1404.1292.pdf

Thank you dear

Article Face Recognition: Challenges, Achievements, and Future Directions

Thank you sir

You can use the following links to check the state-of-the-art models in this area:

https://github.com/topics/face-recognition

https://paperswithcode.com/sota

In my homepage, you can find several papers about face recognition.

Best wishes

Thank you Dr.

refer the face recognition home page:

http://www.face-rec.org

refer Hameed papers and my papers also.

Thank you Dr.

I recommend reviewing Labeled Faces in the Wild LFW dataset results:

http://vis-www.cs.umass.edu/lfw/results.html

This is a challenging dataset, in which the latest state-of-the-art algorithms and patents are tested. A feature of this dataset is that it presents several scenarios of interest in facial recognition systems such as:

• Unsupervised
• Image-Restricted, No Outside Data
• Unrestricted, No Outside Data
• Image-Restricted, Label-Free Outside Data
• Unrestricted, Label-Free Outside Data
• Unrestricted, Labeled Outside Data
• Human Performance

I have studied this problem for some years, and I have also implemented some facial recognition algorithms from scratch and from my knowledge, these are some pending algorithms challenges:

• Difficulty working with large databases
• Invariance to illumination
• Need to retrain

Pose and expression changes well handled with key point detection algorithms, for example: https://ieeexplore.ieee.org/abstract/document/6296663