MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202521105247 A) filed by Dr. E. Afreen Banu; V N S Vijaya Kumar; Dr. Sana Zeba; Dr. D. Rosy Salomi Victoria; Ms. Sarika K; Mrs. P. Divya; and Dr. J K Periasamy, Maharashtra, on Oct. 31, for 'a method for privacy-preserving face recognition using encrypted features.'
Inventor(s) include Dr. E. Afreen Banu; V N S Vijaya Kumar; Dr. Sana Zeba; Dr. D. Rosy Salomi Victoria; Ms. Sarika K; Mrs. P. Divya; and Dr. J K Periasamy.
The application for the patent was published on Nov. 21, under issue no. 47/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses a privacy-preserving method for face recognition utilizing encrypted features to ensure secure biometric authentication without exposing raw facial data at any stage. The system employs a deep neural network to extract unique facial embeddings, which are then transformed through a hybrid encryption mechanism combining lightweight homomorphic encryption, noise-based obfuscation, and post-quantum cryptographic techniques. These encrypted biometric representations retain their discriminative capability for identity verification while being mathematically irreversible, preventing reconstruction or unauthorized inference. Identity matching is executed directly within the encrypted domain using secure similarity computation, thereby eliminating decryption risks during storage, transmission, and comparison. The system further enables revocable biometric templates, dynamic encryption keys, and secure communication protocols to ensure long-term biometric security and regulatory compliance. This invention enables real-time, scalable, and privacy-centric face recognition for applications in secure access systems, mobile authentication, intelligent surveillance, e-governance, and financial verification environments."
Disclaimer: Curated by HT Syndication.
