• Patent Title: Multi-algorithm-based face recognition system and method with optimal dataset partitioning for a cloud environment
  • Application No.: US15322441
    Application Date: 2015-07-15
  • Publication No.: US11544962B2
    Publication Date: 2023-01-03
  • Inventor: Tarek SobhAusif Mahmood
  • Applicant: FaceChecks LLC
  • Applicant Address: US CT Bridgeport
  • Assignee: FaceChecks LLC
  • Current Assignee: FaceChecks LLC
  • Current Assignee Address: US CT Bridgeport
  • Agent Jeffrey C. Wilk
  • International Application: PCT/US2015/040652 WO 20150715
  • International Announcement: WO2016/011204 WO 20160121
  • Main IPC: G06V40/16
  • IPC: G06V40/16 G06K9/62 G06V10/94
Multi-algorithm-based face recognition system and method with optimal dataset partitioning for a cloud environment
Abstract:
A system and method of face recognition comprising multiple phases implemented in a parallel architecture. The first phase is a normalization phase whereby a captured image is normalized to the same size, orientation, and illumination of stored images in a preexisting database. The second phase is a feature extraction/distance matrix phase where a distance matrix is generated for the captured image. In a coarse recognition phase, the generated distance matrix is compared with distance matrices in the database using Euclidean distance matches to create candidate lists, and in a detailed recognition phase, multiple face recognition algorithms are applied to the candidate lists to produce a final result. The distance matrices in the normalized database may be broken into parallel lists for parallelization in the feature extraction/distance matrix phase, and the candidate lists may also be grouped according to a dissimilarity algorithm for parallel processing in the detailed recognition phase.
Information query
Patent Agency Ranking
0/0