ccEngine FR SDK

Develop your Biometric Application with a powerful and fast Face Recognition toolbox

ccEngine FR supplies all the modules that are necessary for building and comparing biometric templates:

• Face Detection: finds the position and the size of each one of the visible faces in the image
• Face Normalization: marks points of morphological interest throughout the face area (eyes, mouth, and eyebrows) in order to properly rotate and scale the image. This operation moves all such points to pre-defined locations.
• Feature Extraction: selects relevant features from the normalized image in order to maximize the robustness against environmental disturbance and noise, non-optimal pose, non-neutral facial expressions and variable illumination conditions.
• Biometric Template Creation: a trained statistical engine processes the extracted feature vector template. The feature vector is reduced to a smaller one that optimally describes the user’s identity.
• Biometric Template Matching: the face recognition and the face verification processes are based on measurements of differences between biometric templates. The normalized template distance is the similarity value of the compared identities.

Minimal requirements: Intel Core i5, 4 GB RAM, 200 MB disk space, operating systems Microsoft Windows 10 and Linux (Ubuntu/RHEL).