WO2020253262A1 - 指纹感测模块及指纹感测方法 - Google Patents

指纹感测模块及指纹感测方法 Download PDF

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Publication number
WO2020253262A1
WO2020253262A1 PCT/CN2020/076921 CN2020076921W WO2020253262A1 WO 2020253262 A1 WO2020253262 A1 WO 2020253262A1 CN 2020076921 W CN2020076921 W CN 2020076921W WO 2020253262 A1 WO2020253262 A1 WO 2020253262A1
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Prior art keywords
image
fingerprint
corrected
display module
fingerprint image
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PCT/CN2020/076921
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English (en)
French (fr)
Inventor
林冠仪
傅同龙
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神盾股份有限公司
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Application filed by 神盾股份有限公司 filed Critical 神盾股份有限公司
Priority to KR1020227000042A priority Critical patent/KR20220016268A/ko
Priority to US17/613,929 priority patent/US20220327668A1/en
Publication of WO2020253262A1 publication Critical patent/WO2020253262A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1324—Sensors therefor by using geometrical optics, e.g. using prisms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1347—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30204—Marker

Definitions

  • the invention relates to a sensing module and a sensing method, and in particular to a fingerprint sensing module and a fingerprint sensing method.
  • OLED organic light-emitting diode
  • the image capture module located below the organic light-emitting diode display panel, in which the complementary metal oxide semiconductor (CMOS) photosensitive element captures the fingerprint lines on the screen, it is inevitable to capture the display inside the organic light-emitting diode display panel
  • CMOS complementary metal oxide semiconductor
  • the display panel will also be deformed after being pressed by a finger, so that the sensed fingerprint image will also be deformed, so the credibility of the obtained fingerprint image is reduced.
  • the invention provides a fingerprint sensing module and a fingerprint sensing method, which have good fingerprint sensing effects.
  • the fingerprint sensing module of an embodiment of the present invention is suitable for being arranged under the display module.
  • the fingerprint sensing module includes a plurality of sensing elements and a signal processor.
  • the display module projects the background beam and the marking beam to the finger pressing on the display module.
  • the multiple sensing elements sense the fingerprint image generated after the background light beam and the marking light beam are reflected by the finger and passed through the display module.
  • the signal processor is electrically connected to a plurality of sensing elements, wherein the signal processor uses the corrected image to convert the fingerprint image into a corrected fingerprint image.
  • the fingerprint sensing method of an embodiment of the present invention includes: a display module provides a background light beam and a marking light beam; a plurality of sensing elements senses a fingerprint image, wherein the fingerprint image is projected by the display module to the background light beam and the marking light beam. Fingers on the display module, and a plurality of sensing elements sense the background light beams and marking light beams reflected by the fingers and generated after passing through the display module; and using the corrected image to convert the fingerprint image into a corrected fingerprint image light beam.
  • the fingerprint sensing module and fingerprint sensing method of the embodiments of the present invention compare the corrected image and the fingerprint image to generate a corrected fingerprint image. Therefore, the fingerprint sensing module and fingerprint sensing method of the embodiments of the present invention can Reduce image noise, reduce the impact of the display module being pressed, and can obtain better fingerprint images.
  • FIG. 1 is a schematic diagram of a fingerprint sensing module generating a corrected image according to an embodiment of the present invention
  • Figure 2 is an example of a corrected image and a fingerprint image
  • FIG. 3 is a schematic diagram of a fingerprint image generated by a fingerprint sensing module according to an embodiment of the present invention.
  • Fig. 5 is a flowchart of a fingerprint sensing method according to an embodiment of the present invention.
  • 700, 700’ fingerprint image
  • S1, S2, S3, S4, S5, S6, S7 sensing elements
  • FIG. 1 is a schematic diagram of a fingerprint sensing module generating a corrected image according to an embodiment of the present invention.
  • the fingerprint sensing module 100 according to an embodiment of the present invention is suitable for being disposed under the display module 10.
  • the fingerprint sensing module 100 includes a plurality of sensing elements S1, S2, S3, S4, S5, S6, S7 and a signal processor 120.
  • the display module 10 is, for example, an organic light-emitting diode display panel, an active-matrix organic light-emitting diode (AMOLED) display panel or other suitable transparent display panels, and the present invention is not limited.
  • the display module 10 may also be a liquid crystal display panel.
  • the display module 10 may include a display circuit 12.
  • the display circuit 12 is, for example, a thin film transistor (Thin-Film Transistor, TFT) circuit layer formed by a semiconductor process or the like.
  • TFT thin film transistor
  • the sensing elements S1, S2, S3, S4, S5, S6, S7 may be a part of the sensing chip, for example, a plurality of pixels of the sensing chip.
  • the sensor chip is, for example, a complementary metal oxide semiconductor (CMOS) image sensor chip or a charge coupled device (CCD) chip.
  • CMOS complementary metal oxide semiconductor
  • CCD charge coupled device
  • Figure 2 shows an example of a corrected image and a fingerprint image. Please refer to FIG. 1 and FIG. 2 at the same time.
  • the display module 10 projects the background beam and the marking beam to the corrector 20 placed on the display module 10.
  • the sensing elements S1, S2, S3, S4, S5, S6, and S7 sense the corrected image 500 generated after the background beam and the marking beam are reflected by the corrector 20 and passed through the display module 10.
  • the corrector 20 is, for example, a white, black flat plate or other flat plate with good reflectivity, and the present invention is not limited thereto.
  • the upper left corner of FIG. 2 illustrates the background image 200 and the marking pattern 300.
  • the corrected image 500 includes a background image 200 and a marking pattern 300, which respectively correspond to images generated after the background light beam and the marking light beam are reflected by the corrector 20 and passed through the display module 10.
  • the background image 200 is, for example, a white image, a black image, an image of other colors, or other suitable images.
  • the marking pattern 300 includes a plurality of markings 301, and the markings 301 may be circular, oval or other suitable shapes. Each mark 301 can have a suitable color, but the present invention is not limited.
  • the marking pattern 300 may be a pattern of multiple black circles.
  • the bottom of Figure 2 shows the fingerprint sensing area A.
  • the fingerprint sensing area A is, for example, circular or other suitable shapes according to actual requirements.
  • the background beam and the marking beam can be projected on the fingerprint sensing area A of the display module 10
  • the fingerprint image 600 is an image of a finger pressed on the fingerprint sensing area A of the display module 10.
  • the present invention is not limited to this, and the range of the fingerprint sensing area A may also be the range of the display module 10. That is, the fingerprint sensing module 100 and the fingerprint sensing method of the embodiment of the present invention can be applied to full-screen fingerprint sensing. Measurement.
  • the corrected image 500 may be stored in the memory 122 of the signal processor 120.
  • the calibration image 500 is generated before the fingerprint sensor module 100 is shipped and is stored in the memory 122 for the purpose of calibrating the fingerprint image 600.
  • FIG. 3 is a schematic diagram of a fingerprint image generated by a fingerprint sensing module according to an embodiment of the present invention.
  • the display module 10 projects the background light beam and the marking light beam to the finger F pressing on the display module 10.
  • the sensing elements S1, S2, S3, S4, S5, S6, and S7 sense the fingerprint image 600 generated after the background light beam and the marking light beam are reflected by the finger F and passed through the display module 10.
  • the fingerprint image 600 is shown in the upper right corner of FIG. 2.
  • the fingerprint image 600 includes a fingerprint pattern image 700 and a marking pattern 300', which respectively correspond to images generated after the background light beam and the marking light beam are reflected by the finger F and passed through the display module 10.
  • the position of each mark 301' of the mark pattern 300' in the fingerprint image 600 is more or less different from the position of each mark 301 of the mark pattern 300 in the corrected image 500 .
  • the position difference between the mark 301' and the mark 301 reflects the deformation of the display module 10 when it is pressed. Therefore, the fingerprint sensing module 100 of the embodiment of the present invention uses the corrected image 500 to convert the fingerprint image 600 into a corrected fingerprint image, so that the effect of fingerprint sensing is better and the credibility is improved.
  • FIG. 4 is an example of comparing the corrected image and the fingerprint image of FIG. 2 to generate a converted fingerprint image. 2 and 4 at the same time, in this embodiment, the signal processor 120 compares the position of the marking pattern 300 in the corrected image 500 with the marking light beam in the fingerprint image 600 after being reflected by the finger F and passing through the display module 10.
  • the fingerprint image 600 for example, the upper right corner of Figure 2
  • the converted fingerprint image 600' is subtracted from the corrected image 500 (for example, the upper left corner of FIG. 2) to generate a corrected fingerprint image, where the converted fingerprint image 600' includes the converted fingerprint ridge image 700'.
  • the fingerprint image 600 can be illustrated by the curve L2 in FIG. 3, and the correction image 500 can be illustrated by the curve L1 in FIG. Therefore, the curve L2 can be converted into the converted fingerprint image 600', and then the curve L1 can be subtracted, and the fingerprint sensor module can obtain the corrected fingerprint image.
  • the signal processor 120 compares the position of the marking pattern 300 in the corrected image 500 with the marking pattern 300' generated after the marking beam in the fingerprint image 600 is reflected by the finger F and passed through the display module 10.
  • the corrected image 500 can also be converted into a converted corrected image, and the converted corrected image can be subtracted from the fingerprint image 600 to generate a corrected fingerprint image.
  • the curve L1 can be converted into a converted corrected image, and the converted curve L1 can be subtracted from the curve L2, and the fingerprint sensing module can obtain the corrected fingerprint image.
  • the corrected image 500 includes image noise N.
  • the image noise N is, for example, the image projected by the background light beam passing through the display circuit 12, or the dirt or fingerprint residue caused by the display module 10 being touched.
  • the difference between the image noise N'and the image noise N in FIG. 2 is that the image noise N'also reflects the degree to which the display module 10 is pressed by the finger F.
  • the curve L1 illustrates the corrected image 500 in FIG. 2.
  • the curve L1 penetrates the display circuit 12 of the display module 10 at the positions corresponding to the points M1, M3, M5, and M7.
  • the curve L1 is at the points M1, M3, M5, and M7.
  • the light intensity of the corresponding position is low.
  • the curve L2 will penetrate the display circuit 12 of the display module 10 at the positions corresponding to the points P1, P3, P5, and P7. Therefore, compared to the points P2, P4, and P6, the curve L2 is at The light intensity of the positions corresponding to the points P1, P3, P5, and P7 is low.
  • the positions of the finger F at the points F5, F6, and F7 are the ridges in the fingerprint lines, so that the position of the curve L2 at the points P5, P6, and P7 can be the position of the fingerprint image 600 with higher brightness.
  • the positions of the finger F at the points F1, F2, F3, and F4 are valleys in the fingerprint lines, so that the positions of the curve L2 at the points P1, P2, P3, and P4 are the positions of the fingerprint image 600 with lower brightness. Therefore, after comparing the marking pattern 300 with the marking pattern 300', the curve L2 can be converted into the converted L2, and then the curve L1 can be subtracted to obtain a corrected fingerprint image. Alternatively, after comparing the marking pattern 300 with the marking pattern 300', the converted curve L1 is subtracted from the curve L2 to obtain a corrected fingerprint image.
  • the signal processor 120 is electrically connected to the sensing elements S1, S2, S3, S4, S5, S6, and S7.
  • the signal processor 120 is, for example, a central processing unit (CPU), a microprocessor (microprocessor), a digital signal processor (digital signal processor, DSP), a programmable controller, and a programmable logic device (programmable logic device). device, PLD) or other similar devices or a combination of these devices, the present invention is not limited.
  • the functions of the signal processor 120 can be implemented as multiple program codes. These program codes are stored in a memory 122, and the signal processor 120 executes the program codes. Alternatively, in an embodiment, each function of the signal processor 120 may be implemented as one or more circuits. The present invention does not limit the implementation of the functions of the signal processor 120 by software or hardware.
  • Fig. 5 is a flowchart of a fingerprint sensing method according to an embodiment of the present invention.
  • a fingerprint sensing method according to an embodiment of the present invention includes the following steps.
  • the display module 10 provides the background light beam and the marking light beam, step S100.
  • the fingerprint image 600 is sensed by a plurality of sensing elements S1, S2, S3, S4, S5, S6, S7, step S140, where the fingerprint image 600 is projected by the display module 10 with a background beam and a marking beam to be pressed on the display module 10
  • the finger F on the upper surface, and a plurality of sensing elements S1, S2, S3, S4, S5, S6, S7 sense the background light beam and the marking light beam reflected by the finger F and generated after passing through the display module 10.
  • the fingerprint image 600 is converted into a corrected fingerprint image, step S160, wherein the corrected image 500 is stored in the memory 122 of the signal processor 120.
  • the corrected image 600 is the background image 200 and the marking pattern 300 projected to the corrector 20 placed on the display module 10 through the display module 10, and a plurality of sensing elements S1, S2, S3, S4, S5, S6, S7 sense The background image 200 and the marking pattern 300 are generated after being reflected by the corrector 20 and passing through the display module 10.
  • the fingerprint sensing method further includes: determining whether the finger is pressed on the fingerprint sensing area A of the display module 10, step S120.
  • the fingerprint sensing module and fingerprint sensing method of the embodiments of the present invention compare the corrected image and the fingerprint image to generate a corrected fingerprint image, therefore, the fingerprint sensing module and fingerprint sensing method of the embodiments of the present invention
  • the problem of image noise can be reduced, and better fingerprint images can be obtained.
  • the image noise includes the image projected by the background light beam through the display circuit, the dirt and fingerprint residue caused by the display module being touched, and the deformation of the display module or fingerprint sensor module due to temperature changes, the display module is long-term Deformation after use, or the fingerprint sensing module (using a wide-angle lens) is pressed to cause image distortion such as edge image distortion. Therefore, the fingerprint sensing module and fingerprint sensing method of the embodiments of the present invention can use the above to generate a corrected fingerprint The image method makes the fingerprint image obtained better.

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Abstract

本发明涉及一种适于配置在显示模块下的指纹感测模块，其包括多个感测元件以及信号处理器。显示模块将背景光束与标记光束投射至按压于显示模块上的手指。多个感测元件感测背景光束与标记光束经手指反射且穿过显示模块后产生的指纹图像。信号处理器电性连接至多个感测元件，其中信号处理器利用校正图像，将指纹图像转换为校正后的指纹图像。本发明亦涉及一种指纹感测方法。

Description

指纹感测模块及指纹感测方法 技术领域
本发明涉及一种感测模块及感测方法，且特别是有关于一种指纹感测模块及指纹感测方法。
背景技术
现有的屏下光学式指纹辨识的解决方案大多是运用在有机发光二极管(OLED)显示面板上，其主要原理是将可见光的图像撷取模块与有机发光二极管显示面板结合，利用有机发光二极管显示面板本身的透光性，将指纹用类似“拍照”的方式获取。
而位于有机发光二极管显示面板下方的图像撷取模块，其中互补式金属氧化物半导体(CMOS)感光元件在拍摄屏上的指纹纹路时，是无法避免会撷取到有机发光二极管显示面板内部的显示模块电路影像，使得拍到的指纹感测图像中包含有图像噪声(noise)，进而造成其成像质量不佳而不易完成指纹辨识。
再者，显示面板经手指按压后也会产生形变，使得感测到的指纹图像也随着产生形变，因此取得的指纹图像的可信度降低。
发明内容
本发明提供一种指纹感测模块及指纹感测方法，其具有良好的指纹感测效果。
本发明的一实施例的指纹感测模块适于配置在显示模块下。指纹感测模块包括多个感测元件以及信号处理器。显示模块将背景光束与标记光束投射至按压于显示模块上的手指。多个感测元件感测背景光束与标记光束经手指反射且穿过显示模块后产生的指纹图像。信号处理器电性连接至多个感测元件，其中信号处理器利用校正图像，将指纹图像转换为校正后的指纹图像。
本发明的一实施例的指纹感测方法包括：由显示模块提供背景光束与标记光束；由多个感测元件感测指纹图像，其中指纹图像为经显示模块将背景光束与标记光束投射至按压于显示模块上的手指，且多个感测元件感测背景光束与标记光束经手指反射且穿过显示模块后产生的；以及利用校正图像，将指纹图像转换为校正后的指纹图像光束。
基于上述，由于本发明实施例的指纹感测模块及指纹感测方法光束比较校正图像和指纹图像而产生校正后的指纹图像，因此，本发明实施例的指纹感测模块及指纹感测方法可降低图像噪声，减少显示模块被按压的影响，且能取得较佳的指纹图像。
附图说明
包含附图以便进一步理解本发明，且附图并入本说明书中并构成本说明书的一部分。附图说明本发明的实施例，并与描述一起用于解释本发明的原理。
图1为根据本发明实施例的指纹感测模块产生校正图像的示意图；
图2为校正图像与指纹图像的一种示例；
图3为根据本发明实施例的指纹感测模块产生指纹图像的示意图；
图4为比较图2的校正图像与指纹图像而产生转换后的指纹图像的示例；
图5为根据本发明实施例的指纹感测方法的流程图。
附图标号说明
10：显示模块；
12：显示电路；
20：校正器；
100：指纹感测模块；
120：信号处理器；
122：存储器；
200：背景图像；
300、300’：标记图案；
301、301’：标记
500：校正图像；
600：指纹图像；
700、700’：指纹纹路图像；
A：指纹感测区域；
F：手指；
F1、F2、F3、F4、F5、F6、F7、M1、M2、M3、M4、M5、M6、M7、P1、P2、P3、P4、P5、P6、P7：点；
L1、L2：曲线；
N、N’：图像噪声；
S1、S2、S3、S4、S5、S6、S7：感测元件；
S100、S120、S140、S160：步骤。
具体实施方式
现将详细地参考本发明的示范性实施例，示范性实施例的实例说明于附图中。只要有可能，相同元件符号在图式和描述中用来表示相同或相似部分。
图1为根据本发明实施例的指纹感测模块产生校正图像的示意图。请参考图1，本发明的一实施例的指纹感测模块100适于配置在显示模块10下。指纹感测模块100包括多个感测元件S1、S2、S3、S4、S5、S6、S7以及信号处理器120。显示模块10例如是有机发光二极管显示面板、主动矩阵有机发光二极管(Active-matrix organic light-emitting diode，AMOLED)显示面板或其他合适的透明显示面板，本发明并不加以限制。在其他实施例中，显示模块10也可以是液晶显示面板。此外，显示模块10可包括显示电路12。显示电路12例如是利用半导体制程等方式形成的薄膜晶体管(Thin-Film Transistor，TFT)电路层。
在本实施例中，感测元件S1、S2、S3、S4、S5、S6、S7可为感测芯片的一部分，例如是感测芯片的多个像素。感测芯片例如是互补式金属氧化物半导体(CMOS)图像感测芯片或电荷耦合元件(charge coupled device,CCD)芯片。为方便说明，图1简单示意了七个感测元件S1、S2、S3、S4、S5、S6、S7，但本发明并不加以限制。
图2为校正图像与指纹图像的一种示例。请同时参考图1与图2，在本 实施例中，显示模块10将背景光束与标记光束投射至放置于显示模块10上的校正器20。感测元件S1、S2、S3、S4、S5、S6、S7感测背景光束与标记光束经校正器20反射且穿过显示模块10后产生的校正图像500。校正器20例如是白色、黑色的平板或其他反射率佳的平板，本发明不以此为限。图2的左上角示意了背景图像200与标记图案300。校正图像500包括背景图像200与标记图案300，其分别对应于背景光束与标记光束经校正器20反射且穿过显示模块10后产生的图像。背景图像200例如是白色图像、黑色图像、其他颜色的图像或其他合适的图像。标记图案300包括多个标记301，且标记301可为圆形、椭圆形或其他合适的形状。每个标记301可具有合适的颜色，但本发明并不加以限制。举例来说，标记图案300可为多个黑色圆形的图案。
图2下方示意了指纹感测区域A。指纹感测区域A例如是圆形或根据实际需求的其他合适形状。在本实施例中，背景光束与标记光束光束可在显示模块10的指纹感测区域A投射出，且指纹图像600为手指按压在显示模块10的指纹感测区域A上的图像。但本发明不以此为限，指纹感测区域A的范围也可为显示模块10的范围，也就是说，本发明实施例的指纹感测模块100及指纹感测方法可适用于全屏指纹感测。
在本实施例中，校正图像500可存储于信号处理器120的存储器122。也就是说，校正图像500在指纹感测模块100出厂前即已产生，并被存储于存储器122，以作为校正指纹图像600的用途。
图3为根据本发明实施例的指纹感测模块产生指纹图像的示意图。请同时参考图2与3，在本实施例中，显示模块10将背景光束与标记光束投射至按压于显示模块10上的手指F。感测元件S1、S2、S3、S4、S5、S6、S7感测背景光束与标记光束经手指F反射且穿过显示模块10后产生的指纹图像600。图2的右上角示意了指纹图像600。指纹图像600包括指纹纹路图像700与标记图案300’，其分别对应于背景光束与标记光束经手指F反射且穿过显示模块10后产生的图像。相较于图2的左上角的校正图像500，指纹图像600中的标记图案300’的各个标记301’的位置与校正图像500中的标记图案300的各个标记301的位置或多或少有些不同。标记301’与标记301在位置上的差异反应了显示模块10被按压所产生的形变。因 此，本发明实施例的指纹感测模块100利用校正图像500，将指纹图像600转换为校正后的指纹图像，使得指纹感测的效果较佳，且可信度提高。
图4为比较图2的校正图像与指纹图像而产生转换后的指纹图像的示例。请同时参考图2与图4，在本实施例中，信号处理器120比较校正图像500中的标记图案300的位置与指纹图像600中的标记光束经手指F反射且穿过显示模块10后产生的标记图案300’所对应的位置，将指纹图像600(例如图2的右上角)转换为转换后的指纹图像600’(例如图4)，再将转换后的指纹图像600’减去校正图像500(例如图2的左上角)而产生校正后的指纹图像，其中转换后的指纹图像600’包括转换后的指纹纹路图像700’。或以图1与图3为例，指纹图像600可由图3的曲线L2示意，且校正图像500可由图1的曲线L1示意。因此，可将曲线L2转换为转换后的指纹图像600’，再减去曲线L1，则指纹感测模块可取得校正后的指纹图像。
在另一实施例中，在信号处理器120比较校正图像500中的标记图案300的位置与指纹图像600中的标记光束经手指F反射且穿过显示模块10后产生的标记图案300’所对应的位置后，亦可将校正图像500转换为转换后的校正图像，并将指纹图像600减去转换后的校正图像，以产生校正后的指纹图像。以图1与图3为例，可将曲线L1转换为转换后的校正图像，再将曲线L2减去转换后的曲线L1，则指纹感测模块可取得校正后的指纹图像。
再者，请再参考图1至图3，一般来说，校正图像500包括了图像噪声N。图像噪声N例如是背景光束经过显示电路12所投影出的图像，或是显示模块10被触碰而造成的污垢、指纹残留等。图2中的图像噪声N’与图像噪声N的差异在于，图像噪声N’还反应了显示模块10被手指F按压的程度。以图1为例，曲线L1示意了图2的校正图像500。曲线L1在点M1、M3、M5、M7所对应的位置会穿透显示模块10的显示电路12，因此，相较于点M2、M4、M6，曲线L1在点M1、M3、M5、M7所对应的位置的光强度较低。依此类推，在图3中，曲线L2在点P1、P3、P5、P7所对应的位置会穿透显示模块10的显示电路12，因此，相较于点P2、P4、P6，曲线L2在点P1、P3、P5、P7所对应的位置的光强度较低。再 者，在图3中，手指F在点F5、F6、F7的位置为指纹纹路中的脊部，使得曲线L2在点P5、P6、P7的位置可为指纹图像600亮度较高的位置，且手指F在点F1、F2、F3、F4的位置为指纹纹路中的谷部，使得曲线L2在点P1、P2、P3、P4的位置为指纹图像600亮度较低的位置。因此，比较上述标记图案300与标记图案300’后，可将曲线L2转换为转换后的L2，再减去曲线L1，则可取得校正后的指纹图像。或者是，比较上述标记图案300与标记图案300’后，将曲线L2减去转换后的曲线L1，亦可取得校正后的指纹图像。
除此之外，在本实施例中，信号处理器120电性连接至感测元件S1、S2、S3、S4、S5、S6、S7。信号处理器120例如是中央处理单元(central processing unit,CPU)、微处理器(microprocessor)、数字信号处理器(digital signal processor,DSP)、可程序化控制器、可程序化逻辑装置(programmable logic device,PLD)或其他类似装置或这些装置的组合，本发明并不加以限制。此外，在一实施例中，信号处理器120的各功能可被实作为多个程序码。这些程序码会被存储在一个存储器122中，由信号处理器120来执行这些程序码。或者，在一实施例中，信号处理器120的各功能可被实作为一或多个电路。本发明并不限制用软件或硬件的方式来实作信号处理器120的各功能。
图5为根据本发明实施例的指纹感测方法的流程图。请参考图5，本发明的一实施例的指纹感测方法包括以下步骤。由显示模块10提供背景光束与标记光束，步骤S100。由多个感测元件S1、S2、S3、S4、S5、S6、S7感测指纹图像600，步骤S140，其中指纹图像600为经显示模块10将背景光束与标记光束投射至按压于显示模块10上的手指F，且多个感测元件S1、S2、S3、S4、S5、S6、S7感测背景光束与标记光束经手指F反射且穿过显示模块10后产生的。利用校正图像500，将指纹图像600转换为校正后的指纹图像，步骤S160，其中校正图像500存储于信号处理器120的存储器122。校正图像600为经显示模块10将背景图像200与标记图案300投射至放置于显示模块10上的校正器20，且多个感测元件S1、S2、S3、S4、S5、S6、S7感测背景图像200与标记图案300经校正器20反射且穿过显示模块10后产生的。
在本实施例中，指纹感测方法还包括：判断手指是否按压在显示模块10 的指纹感测区域A上，步骤S120。
综上所述，由于本发明实施例的指纹感测模块及指纹感测方法比较校正图像和指纹图像而产生校正后的指纹图像，因此，本发明实施例的指纹感测模块及指纹感测方法可降低图像噪声的问题，且取得较佳的指纹图像。再者，由于图像噪声包括了背景光束经过显示电路所投影出的图像，显示模块被触碰而造成的污垢、指纹残留等，显示模块或指纹感测模块因温度变化造成的形变，显示模块长期使用后的形变，或指纹感测模块(使用广角透镜)受按压而造成边缘图像扭曲等成像失真，因此，本发明实施例的指纹感测模块及指纹感测方法可利用上述产生校正后的指纹图像的方法，使得取得的指纹图像较佳。
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (12)

  1. 一种指纹感测模块，适于配置在显示模块下，其特征在于，包括：
    多个感测元件，其中所述显示模块将背景光束与标记光束投射至按压于所述显示模块上的手指，所述多个感测元件感测所述背景光束与所述标记光束经所述手指反射且穿过所述显示模块后产生的指纹图像；以及
    信号处理器，电性连接至所述多个感测元件，其中所述信号处理器利用校正图像，将所述指纹图像转换为校正后的指纹图像。
  2. 根据权利要求1所述的指纹感测模块，其特征在于，所述校正图像存储于所述信号处理器的存储器。
  3. 根据权利要求1所述的指纹感测模块，其特征在于，所述信号处理器比较所述校正图像中的标记图案的位置与所述指纹图像中的所述标记光束经所述手指反射且穿过所述显示模块后产生的标记图案所对应的位置，将所述校正图像转换为转换后的校正图像，再将所述指纹图像减去所述转换后的校正图像而产生所述校正后的指纹图像。
  4. 根据权利要求1所述的指纹感测模块，其特征在于，所述信号处理器比较所述校正图像中的标记图案的位置与所述指纹图像中的所述标记光束经所述手指反射且穿过所述显示模块后产生的标记图案所对应的位置，将所述指纹图像转换为转换后的指纹图像，再将所述转换后的指纹图像减去所述校正图像而产生所述校正后的指纹图像。
  5. 根据权利要求1所述的指纹感测模块，其特征在于，所述背景图像与所述标记图案由所述显示模块的指纹感测区域投射出。
  6. 根据权利要求1所述的指纹感测模块，其特征在于，所述指纹图像为所述手指按压在所述显示模块的指纹感测区域上的图像。
  7. 一种指纹感测方法，其特征在于，包括：
    由显示模块提供背景光束与标记光束；
    由多个感测元件感测指纹图像，其中所述指纹图像为经所述显示模块将所述背景光束与所述标记光束投射至按压于所述显示模块上的手指，所述多个感测元件感测所述背景光束与所述标记光束经所述手指反射且穿过所述显 示模块后产生的；以及
    利用校正图像，将所述指纹图像转换为校正后的指纹图像。
  8. 根据权利要求7所述的指纹感测方法，其特征在于，所述校正图像存储于信号处理器的存储器。
  9. 根据权利要求7所述的指纹感测方法，其特征在于，所述校正后的指纹图像的产生方法为：
    比较所述校正图像中的标记图案的位置与所述指纹图像中的所述标记光束经所述手指反射且穿过所述显示模块后产生的标记图案所对应的位置，将所述校正图像转换为转换后的校正图像，再将所述指纹图像减去所述转换后的校正图像而产生所述校正后的指纹图像。
  10. 根据权利要求7所述的指纹感测方法，其特征在于，所述校正后的指纹图像的产生方法为：
    比较所述校正图像中的标记图案的位置与所述指纹图像中的所述标记光束经所述手指反射且穿过所述显示模块后产生的标记图案所对应的位置，将所述指纹图像转换为转换后的指纹图像，再将所述转换后的指纹图像减去所述校正图像而产生所述校正后的指纹图像。
  11. 根据权利要求7所述的指纹感测方法，其特征在于，还包括：
    判断所述手指是否按压在所述显示模块的指纹感测区域上。
  12. 根据权利要求7所述的指纹感测方法，其特征在于，所述背景图像与所述标记图案由所述显示模块的指纹感测区域投射出。
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