The invention relates to a fingerprint identification device and a fingerprint identification method, and particularly, to a fingerprint identification device and a fingerprint identification method capable of identifying whether a finger image is a real human finger.
As the technology advances, fingerprint identification has become one of the main methods for identity verification. When fingerprint grease is left on the fingerprint sensor, an object other than fingers to press on the fingerprint sensor may result in misjudgment of the residual fingerprint, leading to a decrease in the accuracy and security of fingerprint identification. Therefore, how to identify whether there is a real human finger on the fingerprint sensor in a more accurate manner is what those skilled in the art dedicate themselves to.
In view of this, the invention provides a fingerprint identification device and a fingerprint identification method capable of identifying whether a finger image is a real human finger.
The invention provides a fingerprint identification device, including a display; a light source disposed below the display; a sensor disposed below the display; and a processing module coupled to the sensor. The light source emits structured light to scan an object when the object is in contact with the display. The sensor obtains one or more images of the object, and the one or more images include information of different phase displacements. The processing module calculates three-dimensional information of the object according to the one or more images and determines whether the object is a real human finger or not according to the three-dimensional information.
The invention provides a fingerprint identification method, adapted for a fingerprint identification device. The fingerprint identification device includes a display, and a light source and a sensor disposed below the display. The fingerprint identification method includes steps as follows. The light source emits structured light to scan an object when the object is in contact with the display. One or more images of the object is obtained through the sensor, the one or more images include information of different phase displacements, three-dimensional information of the object is calculated according to the one or more images, and whether the object is a real human finger or not is determined according to the three-dimensional information.
In summary, in the fingerprint identification device and fingerprint identification method of the invention, the light source emits structured light to scan the object in contact with the display, and the sensor obtains one or more images of the object scanned by the structured light. The processing module calculates the three-dimensional information of the object according to the one or more images, and whether the object is a real human finger or not is determined according to the three-dimensional information. Accordingly, the fingerprint identification device and the fingerprint identification method of the invention achieve the anti-counterfeiting effect by determining whether the object to be sensed is a real three-dimensional fingerprint, and the problem of identification errors resulting from residual fingerprints is solved.
In order to make the features and advantages of the invention comprehensible, embodiments accompanied with drawings are described in detail below.
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the invention and together with the description serve to explain the principles of the invention.
100: fingerprint identification device
110: display
115: light source
120: sensor
130: processing module
220: region
230(1)-230(N): phase pattern
320: region
331: red phase pattern
332: green phase pattern
333: blue phase pattern
S401-S403: steps of the fingerprint identification method
Reference will now be made in detail to the exemplary embodiments of the invention, examples of which are illustrated in the accompanying drawings. Whenever possible, the same reference numerals are used to represent the same or similar parts in the accompanying drawings and description.
Referring to
The sensor 120 is a thin film transistor (TFT) sensor or other similar components, for example. The circular shape of the sensor 120 and the position of the sensor 120 on the fingerprint identification device 100 are only for illustration, and the invention does not limit the shape of the sensor 120 and the position of the sensor 120 on the fingerprint identification device 100. The processing module 130 is a central processing unit (CPU), an application processor (AP), or other programmable general-purpose or special-purpose microprocessor, a digital signal processor (DSP), a programmable controller, an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof, for example.
Referring to
Next, the processing module 130 can obtain N images of the object to be sensed from the sensor 120. The three-dimensional information (or called the three-dimensional topography of the object to be sensed) of the object to be sensed is calculated by the phase algorithm according to the N images of the object to be sensed, and whether the object to be sensed is a real human finger is determined according to the three-dimensional information. After the processing module 130 determines that the object to be sensed is a real human finger, the processing module 130 performs a fingerprint identification operation on the real human finger. If the processing module 130 determines that the object to be sensed is not a real human finger, the processing module 130 does not perform a fingerprint identification operation on the real human finger. Accordingly, when an object other than fingers is pressed above the sensor 120, the problem of misjudging the residue of fingerprint grease can be solved.
The phase algorithm is expressed in equation (1) to equation (4) as follows.
I is the pixel exposure value intensity in the image, I′ is the corresponding basic light intensity (e.g., ambient light intensity), I″ is the structured light intensity projected by the corresponding light source 115, Φ is the phase angle, and a is the phase displacement. Equation (4) can be derived by eliminating I′, I″, and α from equation (1) to equation (3).
Referring to
Next, the processing module 130 can obtain the color image of the object to be sensed from the sensor 120, and the color image of the object to be sensed is separated to obtain a first image corresponding to the red phase pattern 331, a second image corresponding to the green phase pattern 332, and a third image corresponding to the blue phase pattern 333. Finally, the processing module 130 calculate the three-dimensional information of the object to be sensed by the phase algorithm similar to that in equation (1) to equation (4) according to the first image, the second image, and the third image, and whether the object to be sensed is a real human finger is determined according to the three-dimensional information. In the embodiment, three phase images of the object to be sensed, the first image corresponding to the red phase pattern 331, the second image corresponding to the green phase pattern 332, and the third image corresponding to the blue phase pattern 333 of the object to be sensed, can be obtained through a single structured light color pattern including three-channel color images, so the time spent in scanning the object to be sensed by emitting the structured light phase pattern for multiple times can be saved.
Note that to obtain a color image of the object to be sensed, the sensor 120 may be a color sensor. In one embodiment, the sensor 120 may be a single sensor with a color filter (or called a color resist) disposed thereon. In another embodiment, the sensor 120 may be composed of three sensors corresponding to red, green, and blue. The invention does not limit the implementation of the sensor 120.
Referring to
Referring to
In step S402, the sensor obtains one or more images of the object, and the one or more images include information of different phase displacements.
In step S403, the three-dimensional information of the object is calculated according to one or more images, and whether the object is a real human finger or not is determined according to the three-dimensional information.
In summary, in the fingerprint identification device and fingerprint identification method of the invention, the light source emits structured light to scan the object in contact with the display, and the sensor obtains one or more images of the object scanned by the structured light. The processing module calculates the three-dimensional information of the object according to the one or more images, and whether the object is a real human finger or not is determined according to the three-dimensional information. Accordingly, the fingerprint identification device and the fingerprint identification method of the invention achieve the anti-counterfeiting effect by determining whether the object to be sensed is a real three-dimensional fingerprint, and the problem of identification errors resulting from residual fingerprints is solved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the structure of the present invention without departing from the scope or spirit of the invention. In view of the foregoing, it is intended that the present invention cover modifications and variations of this invention provided they fall within the scope of the following claims and their equivalents.
Filing Document | Filing Date | Country | Kind |
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PCT/CN2020/096090 | 6/15/2020 | WO |
Number | Date | Country | |
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62963546 | Jan 2020 | US |