Face recognition system and method

A face recognition system comprising:

• a storage configured to store a plurality of units, the plurality of units being a collection of instructions of an application operable in the system;
• a camera, configured to capture a face image;
• and
• a processor configured to execute the plurality of units, the plurality of units comprising:
• a image locating unit, configured to locate a face area in the face image;
• a image recognition unit, configured to recognize and locate facial landmarks in the face area;
• a first feature extraction unit, configured to extract a deep-learning based facial feature from the facial landmarks;
• a second feature extraction unit, configured to extract a hand-crafted facial feature from the facial landmarks;
• and
• a comparison unit, configured to compare facial features with a predetermined facial samples library to output a result of facial comparison;
• wherein the facial features comprise the deep-learning based facial feature and the hand-crafted facial feature;
• wherein the predetermined facial samples library comprises a face classification unit, the face classification unit is generated by multiple deep-learning based facial features extracted from multiple facial samples;
• and
• wherein the comparison unit inputs the deep-learning based facial feature extracted by the first feature extraction unit to the face classification unit, and obtains a first comparison result and a first confidence value;
• and the comparison unit determines whether the first confidence value is greater than a first reference value, and the comparison unit outputs the first comparison result as the result of facial comparison in response to the first confidence value being greater than the first reference value.