Face recognition method and device and apparatus
First Claim
1. A face recognition method, comprising:
- recording a face video image and dynamically tracking an eye in the face video image;
detecting a blink frequency of the eye during dynamic tracking of the eye;
judging whether the blinking frequency is within a preset frequency range;
if the blink frequency is within the preset frequency range, determining that the face is a living face;
if the blink frequency is not within the preset frequency range, determining that the face is a fake face;
the method further comprises;
extracting facial feature information of the face from the face video image;
judging whether there is a face image matching the facial feature information in a database;
if there is a face image matching the facial feature information in the database, obtaining a pre-stored blink frequency range corresponding to the face image in the database;
determining the blink frequency range as the preset frequency range.
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Abstract
The present disclosure relates to the field of biological recognition and provides a face recognition method and device and apparatus. The face recognition method includes: recording a face video image and dynamically tracking an eye in the face video image; detecting a blink frequency of the eye during dynamic tracking of the eye; judging whether the blinking frequency is within a preset frequency range; if the blink frequency is within the preset frequency range, determining that the face is a living face; if the blink frequency is not within the preset frequency range, determining that the face is a fake face. In the embodiment of the present disclosure, the real face and the fake face can be accurately distinguished by the blink frequency of the eye. Therefore, the safety of face recognition is improved.
12 Citations
17 Claims
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1. A face recognition method, comprising:
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recording a face video image and dynamically tracking an eye in the face video image; detecting a blink frequency of the eye during dynamic tracking of the eye; judging whether the blinking frequency is within a preset frequency range; if the blink frequency is within the preset frequency range, determining that the face is a living face; if the blink frequency is not within the preset frequency range, determining that the face is a fake face; the method further comprises; extracting facial feature information of the face from the face video image; judging whether there is a face image matching the facial feature information in a database; if there is a face image matching the facial feature information in the database, obtaining a pre-stored blink frequency range corresponding to the face image in the database; determining the blink frequency range as the preset frequency range. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A face recognition device, comprising:
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a camera, the camera comprising a recording unit, configured to record a face video image; a processor, the processor comprising; a tracking unit, configured to dynamically track an eye in the face video image; a detecting unit, configured to detect a blink frequency of the eye during the tracking unit dynamically tracking of the eye; a judging unit, configured to judge whether the blinking frequency detected by the detecting unit is within a preset frequency range; a determining unit, configured to, when the judging unit judges that the blink frequency is within the preset frequency range, determine that the face is a living face; and when the judging unit judges that the blink frequency is not within the preset frequency range, determine that the face is a fake face; the processor further comprises; an extracting unit, configured to extract facial feature information of the face from the face video image recorded by the recording unit; the judging unit, configured to judge whether there is a face image matching the facial feature information extracted by the extracting unit in a database; the processor further comprises a obtaining unit, configured to, when the judging unit judges that there is a face image matching the facial feature information in the database, obtain a pre-stored blink frequency range corresponding to the face image in the database; the determining unit, configured to determine the blink frequency range as the preset frequency range. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A face recognition apparatus, comprising:
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one or more processors, one or more inputting apparatus, and a memory, the memory being configured to store instructions, the processor being configured to execute the instructions stored in the memory; the inputting apparatus being configured to record a face video image; when executing the instructions stored in the memory, the processor being configured to dynamically track an eye in the face video image, detect a blink frequency of the eye during dynamic tracking of the eye; judge whether the blinking frequency is within a preset frequency range; if the blink frequency is within the preset frequency range, determine that the face is a living face; if the blink frequency is not within the preset frequency range, determine that the face is a fake face; the processor is further configured to; extract facial feature information of the face from the face video image recorded by the recording unit; judge whether there is a face image matching the facial feature information in a database; if there is a face image matching the facial feature information in the database, obtain a pre-stored blink frequency range corresponding to the face image in the database, and determine the blink frequency range as the preset frequency range. - View Dependent Claims (14, 15, 16, 17)
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Specification