| Title | Enhanced Security using Advanced Encryption Standards in Face Recognition |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Vanitha, C. N., Malathy, S., Anitha, K., Suwathika, S. |
| Conference Name | 2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) |
| Keywords | artificial intelligence, biometric encryption, Computer vision, Decoding, decryption, Encryption, face recognition, Histograms, Iris extraction, Metrics, privacy, pubcrawl, resilience, Resiliency, Scalability, telecommunication computing |
| Abstract | Nowadays, face recognition is used everywhere in all fields. Though the face recognition is used for security purposes there is also chance in hacking the faces which is used for face recognition. For enhancing the face security, encryption and decryption technique is used. Face cognizance has been engaged in more than a few security-connected purposes such as supervision, e-passport, and etc... The significant use of biometric raises vital private concerns, in precise if the biometric same method is carried out at a central or unfrosted servers, and calls for implementation of Privacy improving technologies. For privacy concerns the encoding and decoding is used. For achieving the result we are using the Open Computer Vision (OpenCV) tool. With the help of this tool we are going to cipher the face and decode the face with advanced encryption standards techniques. OpenCV is the tool used in this project |
| DOI | 10.1109/C2I454156.2021.9689403 |
| Citation Key | vanitha_enhanced_2021 |
Enhanced Security using Advanced Encryption Standards in Face Recognition