IEEE Mississippi Section

Human identification with biometrics has many applications, for examples, authentication of entering secured areas, authorization of using restrictive devices, and surveillance of crossing borders. Basically biometrics uses the digital signatures of physiological characteristics such as faces, fingerprints, irises, voice, palms and gait to automatically identify a person. Face imaging is a passive data collection that does not require much subject collaboration. The accuracy and efficiency of face recognition are comparable with that of fingerprint/iris recognition. Thus face recognition is suitable for security applications at highly-populated sites such as airports or customs. This talk begins with an overview of facial recognition techniques including Principal Component Analysis (PCA) and Elastic Bunch Graph Matching (EBGM), 3D face recognition and DeepFace (neural network) system. Then two multispectral face recognition methods, Face Pattern Byte (FPB, patented) and compression-based technique (patent pending), are presented for comparisons. The applications, challenges and trend of facial recognition especially for AI-driven needs will be also discussed. Speaker(s): Yufeng, Location: Room: Room 402 Bldg: MCC Building Mississippi College Clinton, Mississippi 39058