Gradiant Corporation

Other

Universidad De Vigo

Fundación Centro Tecnoloxico De Telecomunicacions De Galicia

Fernando Perez Gonzalez

Juan Ramon Troncoso Pastoriza

Alberto Malvido Garcia

Alberto Pedrouzo Ulloa

Disclosed embodiments include methods, apparatuses, and systems for secured image processing, image recognition, biometric recognition, and face recognition in untrusted environments. The disclosure includes a system for secure image recognition that comprises a secure biometric recognition system configured to work directly with encrypted signals, and the secure biometric recognition system comprises an input quantization system and a homomorphic encryption system configured for noninteractive biometric recognition.

System for secure image recognition

Disclosed embodiments include a cryptographic system implemented in at least one digital computer with one or more processors or hardware such as FPGAs for performing secure computations, analysis, and signal processing directly on encrypted data in untrusted environments. According to a basic embodiment, the proposed cryptographic system comprises: (a) at least one secure protocol for performing matrix multiplications in the encrypted domain, and (b) at least one secure protocol for solving systems of linear equations in the encrypted domain. According to a particular embodiment, the system comprises a plurality of privacy-preserving protocols for solving systems of linear equations (SLE) directly based on homomorphic computation and secret sharing. More specifically, according to a particular embodiment, the system uses a protocol whereby systems of linear equations are solved securely by direct Gaussian elimination using a secure protocol without imposing any restrictions on the matrix coefficients.

Cryptographic system for performing secure computations and signal processing directly on encrypted data in untrusted environments

Procedure for verifying the integrity of documents which comprises a characterization of the original document to obtain a hash () and a stage of integrity verification, this stage comprising in turn, representing () the digital document to be verified in a matrix format; adapting () said document to a determined resolution in the characterization and correcting () the inclination, obtaining a corrected image (); obtaining (), the displacement produced between the contents in the original document and the document to be verified; obtaining () optimal displacement coordinates for each one of the regions of the corrected image; obtaining () one metric from the quantified coefficients of the corrected image and the corresponding ones in the original document; deciding () on the integrity of each region of the digitalized document using the previous metrics; and finally deciding () on the integrity of the document based on the results of the previous step.

Growing community of inventors

Vigo, Spain

Fernando Perez Gonzalez