Face identification system and method
The present disclosure discloses a face identification system that includes an image-retrieving circuit, an invisible light source and a processing circuit. The image-retrieving circuit includes light-sensing elements each including a plurality of visible light sensors and an invisible light sensor. The processing circuit executes software and firmware executable commands to execute a face identification method that includes the steps outlined below. An invisible light is emitted to an object to be identified by the invisible light source. A visible light sensed frame and an invisible light sensed frame are retrieved by using the visible and invisible light sensors. Determine whether a light reflection related parameter of the invisible light sensed frame is within a predetermined range is determined only according to the invisible light sensed frame. When the light reflection related parameter is within the predetermined range, the object to be identified is determined to be a real face.
1. A face identification system, comprising:
an image-retrieving circuit comprising light-sensing elements each comprising a plurality of visible light sensors and an invisible light sensor;
an invisible light source; and
a processing circuit electrically coupled to the image-retrieving circuit and the invisible light source and configured to execute software and firmware executable commands to execute a face identification method that comprises:
emitting a plurality of invisible light beams parallel to each other to an object to be identified by the invisible light source;
retrieving a visible light sensed frame by using the visible light sensors of the light-sensing elements;
retrieving an invisible light sensed frame by using the invisible light sensor of the light- sensing elements;
determining whether a degree of difference of light speckle distances of the invisible light sensed frame is larger than a predetermined value, wherein the degree of difference of light speckle distances is related to an angle difference between the invisible light before reflection and the invisible light after reflection; and
determining the object to be identified as an uneven surface when the degree of difference of light speckle distances is larger than the predetermined value.
2. The face identification system of claim 1 , wherein the face identification method further comprises:
performing characteristic comparison on the visible light sensed frame with a face database such that the object to be identified is determined to pass the face identification when the visible light sensed frame comprises a content matching a predetermined face data.
3. The face identification system of claim 1 , wherein each of the invisible light beams is an infrared light and the invisible light sensor is an infrared light sensor, and the visible light sensors comprises a red light sensor, a green light sensor and a blue light sensor.
4. The face identification system of claim 1 , further comprising a visible light source.
5. A face identification method, comprising:
emitting a plurality of invisible light beams parallel to each other to an object to be identified by an invisible light source;
retrieving a visible light sensed frame by using a plurality of visible light sensors of a plurality of light-sensing elements of an image-retrieving circuit;
retrieving an invisible light sensed frame by using an invisible light sensor of the light-sensing elements of the image-retrieving circuit;
determining whether a degree of difference of light speckle distances of the invisible light sensed frame is larger than a predetermined value, wherein the degree of difference of light speckle distances is related to an angle difference between the invisible light before reflection and the invisible light after reflection; and
determining the object to be identified as an uneven surface when the degree of difference of light speckle distances is larger than the predetermined value.
6. The face identification method of claim 5 , further comprising:
performing characteristic comparison on the visible light sensed frame with a face database such that the object to be identified is determined to pass the face identification when the visible light sensed frame comprises a content matching a predetermined face data.
7. The face identification method of claim 5 , wherein each of the invisible light beams is an infrared light and the invisible light sensor is an infrared light sensor, and the visible light sensors comprises a red light sensor, a green light sensor and a blue light sensor.
8. An object identification system, comprising:
an image-retrieving circuit comprising light-sensing elements each comprising a plurality of visible light sensors and an invisible light sensor;
an invisible light source; and
a processing circuit electrically coupled to the image-retrieving circuit and the invisible light source and configured to execute software and firmware executable commands to execute an object identification method that comprises:
emitting a plurality of invisible light beams parallel to each other to an object to be identified by the invisible light source;
retrieving a visible light sensed frame by using the visible light sensors of the light-sensing elements;
retrieving an invisible light sensed frame by using the invisible light sensor of the light- sensing elements;
determining whether a degree of difference of light speckle distances of the invisible light sensed frame is larger than a predetermined value, wherein the degree of difference of light speckle distances is related to an angle difference between the invisible light before reflection and the invisible light after reflection; and
determining the object to be identified as an uneven surface when the degree of difference of light speckle distances is larger than the predetermined value.