TWI773453B - Sensor device adopting sensing pixels having partial spectrum sensing areas - Google Patents

Sensor device adopting sensing pixels having partial spectrum sensing areas Download PDF

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TWI773453B
TWI773453B TW110127074A TW110127074A TWI773453B TW I773453 B TWI773453 B TW I773453B TW 110127074 A TW110127074 A TW 110127074A TW 110127074 A TW110127074 A TW 110127074A TW I773453 B TWI773453 B TW I773453B
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sensing
light
area
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reflected light
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TW202211669A (en
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周正三
傅同龍
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神盾股份有限公司
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Abstract

A sensor device includes sensing pixels arranged in an array. The sensing pixels include a first sensing pixel and a second sensing pixel. The first sensing pixel obtains a first sensing value S1 based on reflected light from a portion of an object, and has a first region with a first percentage M1 and a second region with a second percentage N1. The first region senses first light of the reflected light. The second sensing pixel obtains a second sensing value S2 based on the reflected light, and has a third region with a third percentage M2 and a fourth region with a fourth percentage N2. The third region senses first light of the reflected light, so that spectrum information of the portion corresponding to the first light is defined according to at least M1, N1, M2, N2, S1 and S2.

Description

採用具有部分光譜感測面積的感測像素的感測裝置Sensing device employing sensing pixels with partial spectral sensing area

本發明是有關於一種感測裝置,且特別是有關於一種採用具有部分光譜感測面積的感測像素的感測裝置,利用由具有部分光譜感測面積的感測像素所獲得的感測值,可以獲得特定光譜的光譜信息,或者做為活體判斷(譬如真假手指判斷)或性質判斷的依據。The present invention relates to a sensing device, and more particularly, to a sensing device using a sensing pixel having a partial spectral sensing area, utilizing a sensing value obtained by the sensing pixel having a partial spectral sensing area , the spectral information of a specific spectrum can be obtained, or it can be used as the basis for living body judgment (such as true and false finger judgment) or property judgment.

現今的移動電子裝置(例如手機、平板電腦、筆記本電腦等等)通常配備有使用者生物識別系統,包括了例如指紋、臉型、虹膜等等不同技術,用以保護個人資料安全,其中例如應用於手機或智慧型手錶等攜帶型裝置,也兼具有行動支付的功能,對於使用者生物識別更是變成一種標準的功能,而手機等攜帶型裝置的發展更是朝向全屏幕(或超窄邊框)的趨勢,使得傳統電容式指紋按鍵無法再被繼續使用,進而演進出新的微小化光學成像裝置(有的非常類似傳統的相機模組,具有互補式金屬氧化物半導體(Complementary Metal-Oxide Semiconductor (CMOS) Image Sensor (簡稱CIS))感測元件及光學鏡頭模組)。將微小化光學成像裝置設置於屏幕下方(可稱為屏下),透過屏幕部分透光(特別是有機發光二極體(Organic Light Emitting Diode,OLED)屏幕),可以擷取按壓於屏幕上方的物體的圖像,特別是指紋圖像,可以稱為屏幕下指紋感測(Fingerprint On Display,FOD)。Today's mobile electronic devices (such as mobile phones, tablet computers, notebook computers, etc.) are usually equipped with user biometric identification systems, including different technologies such as fingerprints, face shapes, irises, etc., to protect personal data security, such as application in Portable devices such as mobile phones or smart watches also have the function of mobile payment, and biometric identification has become a standard function for users. ) trend, which makes the traditional capacitive fingerprint buttons no longer used, and then evolves new miniaturized optical imaging devices (some are very similar to traditional camera modules, with Complementary Metal-Oxide Semiconductor (Complementary Metal-Oxide Semiconductor) (CMOS) Image Sensor (abbreviated as CIS) sensing element and optical lens module). The miniaturized optical imaging device is arranged under the screen (it can be called under the screen), and the light is partially transmitted through the screen (especially the organic light emitting diode (Organic Light Emitting Diode, OLED) screen). The image of the object, especially the fingerprint image, can be called Fingerprint On Display (FOD).

屏幕下指紋感測除了要能正確地感測到指紋以外,也需要判斷手指的真偽,以防止某人利用偽造另一人的假指紋或假手指來假冒另一人而通過認證。目前的仿冒技術也越來越精進,譬如可以利用2D影像或3D列印製作一個模具,再利用此模具填入各種不同的矽膠和色素製成假手指,或者也可以將另一人的指紋複製成透明或膚色薄膜附加到手指表面,使得附加有透明薄膜的假手指難以被辨別出。傳統的辨識方法都是在2D的感測器陣列中(基本上都是可以偵測可見光譜的白像素(white pixel)),設置部分的顏色像素(在其上方製作特定的彩色濾光片(color filter),例如RGB彩色濾光片)分布於2D陣列中,再由這些顏色像素偵測反射於手指的光信號強度,透過設定一光信號強度閾值(threshold value),達到判別真假手的目的。但是這種光信號強度的判斷很容易受到環境光場強度變化的影響,而常常造成光信號強度閾值設定時的變異,大大影響了判斷的真確性。In addition to correctly sensing fingerprints, under-screen fingerprint sensing also needs to determine the authenticity of the fingers, so as to prevent someone from using fake fingerprints or fake fingers of another person to impersonate another person and pass the authentication. The current counterfeiting technology is also becoming more and more sophisticated. For example, you can use 2D images or 3D printing to make a mold, and then use this mold to fill in various silicones and pigments to make fake fingers, or you can copy another person's fingerprints into A transparent or skin tone film is attached to the surface of the finger, making it difficult to identify fake fingers with a transparent film attached. The traditional identification methods are all in the 2D sensor array (basically all white pixels that can detect the visible spectrum), and set some color pixels (make a specific color filter on top of them). color filter), such as RGB color filter) is distributed in the 2D array, and then the light signal intensity reflected on the finger is detected by these color pixels. Purpose. However, the judgment of the optical signal intensity is easily affected by the change of the intensity of the ambient light field, which often causes variation in the setting of the threshold value of the optical signal intensity, which greatly affects the authenticity of the judgment.

鑑於以上說明,對於判斷真實手指的機構,著實有更進一步的改良需求,以防止假手指通過指紋感測。In view of the above description, there is indeed a need for further improvement in the mechanism for judging real fingers, so as to prevent fake fingers from being detected by fingerprints.

因此,本發明的一個目的是提供一種採用具有部分光譜感測面積的感測像素的感測裝置,依據感測像素的部分面積的佔有比例及感測像素感測受測部位所獲得的感測值,作為活體判斷或性質判斷的依據,並且可用來定義出受測部位對應特定光譜的光譜信息。Therefore, an object of the present invention is to provide a sensing device using a sensing pixel having a partial spectral sensing area, and the sensing obtained by sensing the part to be sensed by the sensing pixel according to the occupation ratio of the partial area of the sensing pixel and the sensing pixel. The value is used as the basis for the judgment of living body or property, and can be used to define the spectral information corresponding to the specific spectrum of the tested part.

為達上述目的,本發明提供一種採用具有部分光譜感測面積的感測像素的感測裝置,包含多個排列成陣列的感測像素,此些感測像素至少包含一第一感測像素及一第二感測像素。第一感測像素基於來自一物體的一部位的反射光獲得一第一感測值S1,並且具有一第一佔比M1的一第一區及一第二佔比N1的一第二區,第一區感測所述部位的第一光線。第二感測像素基於反射光獲得一第二感測值S2,並且具有一第三佔比M2的一第三區以及一第四佔比N2的一第四區,第三區感測反射光的第一光線,俾能依據至少M1、N1、M2、N2、S1與S2來定義所述部位對應於第一光線的光譜信息。In order to achieve the above object, the present invention provides a sensing device using sensing pixels having a partial spectral sensing area, comprising a plurality of sensing pixels arranged in an array, and the sensing pixels at least include a first sensing pixel and a second sensing pixel. The first sensing pixel obtains a first sensing value S1 based on the reflected light from a part of an object, and has a first area with a first proportion M1 and a second area with a second proportion N1, The first area senses the first light of the site. The second sensing pixel obtains a second sensing value S2 based on the reflected light, and has a third region with a third ratio M2 and a fourth region with a fourth ratio N2, and the third region senses the reflected light The first light ray of , so that the spectral information of the part corresponding to the first light ray can be defined according to at least M1 , N1 , M2 , N2 , S1 and S2 .

藉由上述實施方式的感測裝置,依據感測像素的部分面積的佔有比例及感測像素感測受測部位所獲得的感測值,可以求得受測部位對應特定光譜的光譜信息,而從光譜信息進行偵測血氧濃度、皮膚特性或其他皮下組織的特性等等的判斷,而不用犧牲受測部位的光譜信息。With the sensing device of the above-mentioned embodiment, the spectral information corresponding to the specific spectrum of the tested part can be obtained according to the occupation ratio of the partial area of the sensing pixel and the sensing value obtained by the sensing pixel sensing the tested part, and The judgment of detecting blood oxygen concentration, skin properties or other subcutaneous tissue properties, etc. is performed from the spectral information, without sacrificing the spectral information of the tested site.

為讓本發明的上述內容能更明顯易懂,下文特舉較佳實施例,並配合所附圖式,作詳細說明如下。In order to make the above-mentioned content of the present invention more obvious and easy to understand, the preferred embodiments are exemplified below, and are described in detail as follows in conjunction with the accompanying drawings.

圖1A顯示依據本發明較佳實施例的感測像素的示意圖。如圖1A所示,本實施例提供一種感測像素10,至少包含一個完整的光感測元11以及一光譜分離元件13,其設置於光感測元11的一側。光譜分離元件13具有一第一光區13A與一第二光區13B,分別處理不同光譜成分的光。光感測元11的一第一部分11A與一第二部分11B分別通過光譜分離元件13的第一光區13A與第二光區13B,感測來自一物體F的一受測光而獲得一綜合信號。第一光區13A與第一部分11A構成感測像素10的一第一區12,第二光區13B與第二部分11B構成感測像素10的一第二區14。於本實施例中,光譜分離元件13為一濾光片,第一光區13A的有效面積A13小於光感測元11能執行光感測的有效面積A11。於一例子中,第一光區13A讓受測光的一第一光線L1(具有譬如紅光光譜)通過而到達光感測元11,而第二光區13B讓受測光全部(具有譬如白光光譜)通過而到達光感測元11。於另一例子中,第一光區13A讓第一光線L1(具有譬如紅光光譜)通過而到達光感測元11,第二光區13B讓受測光的一第二光線L2(具有譬如藍光或綠光光譜)通過而到達光感測元11。藉由上述設計,可以讓感測像素10具有部分特定光譜感測面積,來達成選擇性地以一特定比例過濾受測光的光譜的功能,可以為下述的感測裝置的應用提供解決方案。實際設計時,可以調整有效面積A13與A11的比值,以配置出具有不同面積佔比的感測像素。可以理解的,本實施例的光譜分離元件13可位於光感測元11上或上方。FIG. 1A shows a schematic diagram of a sensing pixel according to a preferred embodiment of the present invention. As shown in FIG. 1A , the present embodiment provides a sensing pixel 10 , which at least includes a complete light sensing element 11 and a spectral separation element 13 , which is disposed on one side of the light sensing element 11 . The spectral separation element 13 has a first light area 13A and a second light area 13B, respectively processing light with different spectral components. A first part 11A and a second part 11B of the light sensing element 11 pass through the first light area 13A and the second light area 13B of the spectral separation element 13 respectively to sense a measured light from an object F to obtain a comprehensive signal . The first light area 13A and the first portion 11A form a first area 12 of the sensing pixel 10 , and the second light area 13B and the second portion 11B form a second area 14 of the sensing pixel 10 . In this embodiment, the spectral separation element 13 is an optical filter, and the effective area A13 of the first light region 13A is smaller than the effective area A11 of the light sensing element 11 capable of performing light sensing. In one example, the first light area 13A allows a first light L1 (having, for example, a red light spectrum) of the light to be tested to pass through to reach the light sensing element 11 , and the second light area 13B allows all of the light to be tested (having a white light spectrum, for example) to pass through. ) passes through and reaches the light sensing element 11 . In another example, the first light area 13A allows a first light L1 (having, for example, a red light spectrum) to pass through to reach the light sensing element 11 , and the second light area 13B allows a second light L2 (having a blue light, for example) to be detected. or green light spectrum) to reach the light sensing element 11 . With the above design, the sensing pixel 10 can have a part of a specific spectral sensing area to achieve the function of selectively filtering the spectrum of the light to be detected at a specific ratio, which can provide a solution for the application of the following sensing device. In actual design, the ratio of the effective areas A13 to A11 can be adjusted to configure sensing pixels with different area ratios. It can be understood that the spectral separation element 13 in this embodiment may be located on or above the light sensing element 11 .

圖1B顯示依據本發明較佳實施例的感測裝置的應用的示意圖。圖2顯示圖1B的多個感測像素的平面配置圖。如圖1B與圖2所示,本實施例的感測裝置100至少包含多個排列成陣列的感測像素,感測像素的光感測元形成於一感測基板45上,感測像素至少包含感測像素10(可稱為第一感測像素)、當然可以更包含第二、第三及第四感測像素20、30與40,各自具有不同面積佔比的特定光譜感測區。感測裝置100用於感測物體F的一部位VIP(受測部位,或稱虛擬相同部位(Virtual Identical Position)),感測像素10基於來自部位VIP的反射光(受測光)獲得一第一感測值S1。在本實施例中,感測像素10具有一第一佔比M1的一第一區12及一第二佔比N1的一第二區14。第一區12用於感測反射光的第一光線L1(特定光譜,譬如是紅(R)、綠(G)、藍(B)色光譜等等)。於圖2的非限制例中可知,M1=25%,N1=75%,但於其他例子中,亦可讓M1+N1<100%。同理,第二感測像素20基於來自部位VIP的反射光獲得一第二感測值S2。在本實施例中,感測像素20具有一第三佔比M2的一第三區22以及一第四佔比N2的一第四區24。第三區22用於感測反射光的第一光線L1。配合感測像素10,可以依據至少M1、N1、M2、N2、S1與S2來定義部位VIP對應於第一光線L1的光譜信息(也可以定義受測光的光譜信息)。感測裝置100可以更選擇性地包含一信號處理單元50及一資料庫60。信號處理單元50電連接至資料庫60及感測像素。信號處理單元50可以依據M1、N1、M2、N2、S1與S2,與資料庫60中預存的資料進行比對,判斷物體F的真偽。於圖2的非限制例中,M2=50%,N2=50%,但於其他例子中,亦可讓M2+N2<100%。FIG. 1B shows a schematic diagram of the application of the sensing device according to the preferred embodiment of the present invention. FIG. 2 shows a plan view of a plurality of sensing pixels of FIG. 1B . As shown in FIG. 1B and FIG. 2 , the sensing device 100 of the present embodiment at least includes a plurality of sensing pixels arranged in an array, the light sensing elements of the sensing pixels are formed on a sensing substrate 45 , and the sensing pixels at least It includes the sensing pixel 10 (which may be referred to as the first sensing pixel), and certainly may further include the second, third and fourth sensing pixels 20, 30 and 40, each of which has a specific spectral sensing area with different area ratios. The sensing device 100 is used for sensing a part VIP (measured part, or virtual identical part (Virtual Identical Position)) of the object F, and the sensing pixel 10 obtains a first Sensing value S1. In this embodiment, the sensing pixel 10 has a first region 12 with a first ratio M1 and a second region 14 with a second ratio N1. The first area 12 is used for sensing the first light L1 of the reflected light (specific spectrum, such as red (R), green (G), blue (B) color spectrum, etc.). In the non-limiting example of FIG. 2, it can be seen that M1=25%, N1=75%, but in other examples, M1+N1<100% can also be set. Similarly, the second sensing pixel 20 obtains a second sensing value S2 based on the reflected light from the portion VIP. In this embodiment, the sensing pixel 20 has a third region 22 with a third ratio M2 and a fourth region 24 with a fourth ratio N2. The third area 22 is used for sensing the first light L1 of the reflected light. In conjunction with the sensing pixels 10 , the spectral information of the portion VIP corresponding to the first light L1 can be defined according to at least M1 , N1 , M2 , N2 , S1 and S2 (the spectral information of the light to be measured can also be defined). The sensing device 100 may optionally include a signal processing unit 50 and a database 60 . The signal processing unit 50 is electrically connected to the database 60 and the sensing pixels. The signal processing unit 50 can compare the data pre-stored in the database 60 according to M1, N1, M2, N2, S1 and S2 to determine the authenticity of the object F. In the non-limiting example of FIG. 2, M2=50%, N2=50%, but in other examples, M2+N2<100% can also be set.

以下舉例說明所謂的虛擬相同部位VIP。以手指的指紋而言,指紋紋峰的中心間距(pitch)大約是400至500µm,感測像素的中心間距大約是10至20µm,使得相鄰的兩個或三個感測像素實際上量測到的是手指上的同一部位,這是因為從手指(物體F)到感測像素的距離大約有1,000µm,在橫向尺寸與縱向尺寸差異相當大的情況下,使得相鄰的兩個或三個感測像素看到的待測物幾乎是相同的位置。代表相同位置的虛擬相同部位的深度資訊實質上相同,其對應光譜信息亦相同。Hereinafter, the so-called virtual identical site VIP will be exemplified. For a fingerprint of a finger, the center-to-center pitch of the fingerprint peaks is about 400 to 500µm, and the center-to-center pitch of the sensing pixels is about 10 to 20µm, so that two or three adjacent sensing pixels actually measure to the same part of the finger, because the distance from the finger (object F) to the sensing pixel is about 1,000µm, in the case of a considerable difference between the horizontal and vertical dimensions, the adjacent two or three The object under test seen by each sensing pixel is almost the same position. The depth information of the virtual identical parts representing the same position is substantially the same, and the corresponding spectral information is also the same.

於本例中,信號處理單元50可以依據M1、N1、S1、M2、N2及S2這六個參數來判斷物體F的真偽,當然也可定義部位VIP的光譜信息。於另一變化例中,這六個參數可以輸出到安裝有感測裝置100的電子設備,供電子設備(譬如手機、平板電腦或筆記型電腦等)的中央處理器處理,也就是中央處理器可以對上述以及下述的資料執行處理。因此,信號處理單元50電連接至資料庫60並不一定是感測裝置100的必要元件。In this example, the signal processing unit 50 can determine the authenticity of the object F according to the six parameters of M1, N1, S1, M2, N2 and S2, and of course can also define the spectral information of the part VIP. In another variation, the six parameters can be output to the electronic device installed with the sensing device 100 for processing by the central processing unit of the electronic device (such as a mobile phone, a tablet computer or a notebook computer, etc.), that is, the central processing unit. Processing can be performed on the above and below data. Therefore, the electrical connection of the signal processing unit 50 to the database 60 is not necessarily a necessary element of the sensing device 100 .

當然,為了適應於不同的應用場合,強化真偽辨識的結果,可以對上述實施例的細節進行變化與擴充。因為採用具有不同佔比的部分特定光譜感測面積能感測特定光譜的感測像素可以衍生多種變化,所以為本揭露內容的核心精神。Of course, in order to adapt to different application situations and strengthen the result of authenticity identification, the details of the above embodiments may be changed and expanded. Since a variety of changes can be derived from sensing pixels that can sense a specific spectrum by using a portion of the specific spectrum sensing area with different proportions, this is the core spirit of the present disclosure.

第三感測像素30基於來自部位VIP的反射光獲得一第三感測值S3,第三感測像素30具有一第五佔比M3的一第五區32以及一第六佔比N3的一第六區34,第五區32用於感測反射光的第一光線L1,俾能依據至少M1、N1、M2、N2、M3、N3、S1、S2與S3這九個參數來進行真偽判斷,當然也可定義部位VIP對應於第一光線L1的光譜信息。或者,信號處理單元50可以依據這九個參數與資料庫60中預存的資料進行比對,判斷物體F的真偽。於圖2的非限制例中,M3=75%,N3=25%,但於其他例子中,亦可讓M3+N3<100%。M1、N1、M2、N2、M3、N3都是介於0%與100%之間。The third sensing pixel 30 obtains a third sensing value S3 based on the reflected light from the portion VIP, and the third sensing pixel 30 has a fifth region 32 with a fifth ratio M3 and a region 32 with a sixth ratio N3 The sixth area 34 and the fifth area 32 are used for sensing the first light L1 of the reflected light, so that the authenticity can be determined according to at least nine parameters of M1, N1, M2, N2, M3, N3, S1, S2 and S3 Judging, of course, it can also be defined that the portion VIP corresponds to the spectral information of the first light ray L1. Alternatively, the signal processing unit 50 may compare the data pre-stored in the database 60 with the nine parameters to determine the authenticity of the object F. In the non-limiting example of FIG. 2, M3=75%, N3=25%, but in other examples, M3+N3<100% can also be set. M1, N1, M2, N2, M3, N3 are all between 0% and 100%.

在本例中,第四感測像素40並未如感測像素10、20、30設置特定光譜感測區,因此可基於來自部位VIP的反射光獲得代表部位VIP的全光譜信息的第四感測值S4。第四感測像素40除了可以提供一個參考基準以外,也可以用來感測物體F的其他生物特徵,譬如是指紋、血管圖像、血氧濃度圖像等生物特徵。實際設計時,是在許多第四感測像素40穿插一些感測像素10及第二感測像素20(也可更包含第三感測像素30),以第四感測像素40所感測到的信號當作生物特徵,以感測像素10及第二感測像素20(也可更包含第三感測像素30)當作光譜信息判斷的資料。In this example, the fourth sensing pixel 40 is not provided with a specific spectral sensing area like the sensing pixels 10 , 20 and 30 , so the fourth sensing pixel representing the full spectrum information of the part VIP can be obtained based on the reflected light from the part VIP Measured value S4. In addition to providing a reference, the fourth sensing pixel 40 can also be used to sense other biological features of the object F, such as fingerprints, blood vessel images, blood oxygen concentration images and other biological features. In the actual design, some of the fourth sensing pixels 40 are interspersed with some of the sensing pixels 10 and the second sensing pixels 20 (the third sensing pixels 30 may also be included), and the fourth sensing pixels 40 sense the The signal is regarded as a biological feature, and the sensing pixel 10 and the second sensing pixel 20 (and may further include the third sensing pixel 30 ) are regarded as the data for spectral information determination.

第一區12、第三區22與第五區32用於感測部位VIP的第一光線L1以分別獲得接收值S11、S21及S31。第二區14、第四區24與第六區34用於感測部位VIP的第二光線L2以分別獲得接收值S12、S22及S32。當第一光線L1為紅/綠/藍光時(例如手指反射來自於顯示屏的照光),第二光線L2可以是非純紅光/綠光/藍光的純淨光或混合光,使得第二光線L2與第一光線L1局部重疊,或不相重疊。The first area 12 , the third area 22 and the fifth area 32 are used for sensing the first light L1 of the part VIP to obtain the received values S11 , S21 and S31 respectively. The second area 14, the fourth area 24 and the sixth area 34 are used for sensing the second light L2 of the part VIP to obtain the received values S12, S22 and S32, respectively. When the first light L1 is red/green/blue (for example, the finger reflects the light from the display screen), the second light L2 can be pure light or mixed light that is not pure red/green/blue, so that the second light L2 It partially overlaps with the first light ray L1, or does not overlap.

值得注意的是,在一個生物特徵感測器或指紋感測器中,可以有多個感測像素10、多個第二感測像素20、多個第三感測像素30及多個第四感測像素40,感測通過一顯示器80及一光機結構70的光線的不同光譜,並且排列成陣列地形成於感測基板45上。顯示器80可以是一種LCD、OLED顯示器、微型發光二極體顯示器或其他現有或未來的顯示器。顯示器80可以提供光線照射手指(物體F),當然也可以另外設置其他光源來照射手指(物體F)。於另一例子中,並不一定要利用顯示器80,而可以採用一透光蓋板蓋住光機結構70,並讓手指(物體F)碰觸透光蓋板。It is worth noting that in a biometric sensor or fingerprint sensor, there may be multiple sensing pixels 10, multiple second sensing pixels 20, multiple third sensing pixels 30, and multiple fourth sensing pixels The sensing pixels 40 sense different spectrums of light passing through a display 80 and an optical-mechanical structure 70 , and are arranged in an array and formed on the sensing substrate 45 . Display 80 may be an LCD, OLED display, micro light emitting diode display, or other existing or future display. The display 80 can provide light to illuminate the finger (object F), and of course other light sources can also be provided to illuminate the finger (object F). In another example, it is not necessary to use the display 80, but a light-transmitting cover plate can be used to cover the optical-mechanical structure 70, and the finger (object F) can touch the light-transmitting cover plate.

光機結構70的實施方式也不特別限制。於一例子中,光機結構70包含多個微透鏡結構及遮光層。於另一例子中,光機結構70為一種不含微透鏡結構的準直器結構。The implementation of the optomechanical structure 70 is also not particularly limited. In one example, the optomechanical structure 70 includes a plurality of microlens structures and a light shielding layer. In another example, the optomechanical structure 70 is a collimator structure without a microlens structure.

實際實施時,感測像素10可以是一個光感測元加上一個光譜分離元件所構成,其中光譜分離元件的面積除以光感測元的面積等於25%。光譜分離元件譬如是紅/綠/藍光過濾器,只允許通過光機結構70的紅/綠/藍光進入到光感測元中。第二感測像素20與第三感測像素30的設計方式可以依此類推。In actual implementation, the sensing pixel 10 may be constituted by a light sensing element plus a spectral separation element, wherein the area of the spectral separation element divided by the area of the light sensing element is equal to 25%. The spectral separation element is, for example, a red/green/blue light filter, which only allows the red/green/blue light passing through the optomechanical structure 70 to enter the light sensing element. The design of the second sensing pixel 20 and the third sensing pixel 30 can be deduced by analogy.

於上述實施例中,第一區12感測紅/綠/藍色光譜值,第二區14感測到白色光譜值。但是本揭露內容並非受限於此,只要是利用不同混合光譜來解出個別光譜值,甚至進行真偽判斷,都適用於本揭露內容。譬如,第一區12感測紅色光譜值,而第二區14感測綠色光譜值,依此類推。因此,透過配置不同佔有比例的不同光譜感測區,也可在後端的信號處理單元中將不同光譜的信號萃取出來,以供上述所提到的各種場合的應用。In the above embodiment, the first region 12 senses the red/green/blue spectral values, and the second region 14 senses the white spectral value. However, the present disclosure is not limited to this, as long as different mixed spectra are used to solve individual spectral values, or even to perform authenticity judgment, the present disclosure is applicable. For example, the first region 12 senses red spectral values, while the second region 14 senses green spectral values, and so on. Therefore, by configuring different spectral sensing regions with different occupancy ratios, signals of different spectra can also be extracted in the back-end signal processing unit for application in the above-mentioned various occasions.

圖3至圖5顯示圖1B的三種感測像素的立體配置圖。如圖1B至圖5所示,以下以第一光線L1為紅色光譜,第二光線L2為白色光譜,並以感測像素10、第二感測像素20及第三感測像素30分別包含面積佔比25%、50%與75%的特定光譜感測區作為例子來說明,但並未將本揭露內容限制於此。於其他例子中,每一感測像素可以包含其他適當佔比的感測區,且第一光線與第二光線可以是互不重疊的光譜。3 to 5 show three-dimensional configuration diagrams of the three sensing pixels of FIG. 1B . As shown in FIG. 1B to FIG. 5 , in the following, the first light L1 is in the red spectrum, the second light L2 is in the white spectrum, and the sensing pixel 10 , the second sensing pixel 20 and the third sensing pixel 30 respectively include area The specific spectral sensing regions accounting for 25%, 50%, and 75% are illustrated as examples, but the disclosure is not limited thereto. In other examples, each sensing pixel may include other appropriate proportions of sensing regions, and the first light and the second light may have non-overlapping spectra.

參見圖1B至圖4,接收值S11與S12合成第一感測值S1,且接收值S21與S22合成第二感測值S2。因此,在圖2的像素群組53中,滿足以下方程式1與方程式2: S1=M1*I1 +N1*I2=0.25*I1+0.75*I2   [方程式1] S2=M2*I1+N2*I2 =0.5*I1+0.5*I2     [方程式2] 其中I1代表第一光線(紅光)的強度,I2代表第二光線(白色光譜)的強度。由於有兩個未知數I1與I2,所以利用兩個方程式即可解出I1與I2。因此,在M2不等於M1且N2不等於N1的情況下,藉由S1、S2、M1、M2、N1及N2以獲得第一光線L1的強度I1及第二光線L2的強度I2。上述方程式的求解可以由信號處理單元50或者是電子設備的中央處理器來執行。或者,也可以依據上述兩個方程式1與2的特性,配合實驗所量測真實手指與假手指所獲得的資料庫60,利用信號處理單元50依據S1與S2比對資料庫60以判斷物體F的真偽,而不用先將I1與I2解出,這也提供另一種可實施的方式。又或者,信號處理單元50可以依據S1、S2、M1、M2、N1及N2來獲得部位VIP的光譜信息。Referring to FIGS. 1B to 4 , the received values S11 and S12 are combined into a first sensing value S1, and the received values S21 and S22 are combined into a second sensing value S2. Therefore, in the pixel group 53 of FIG. 2, the following equations 1 and 2 are satisfied: S1=M1*I1 +N1*I2=0.25*I1+0.75*I2 [Equation 1] S2=M2*I1+N2*I2 =0.5*I1+0.5*I2 [Equation 2] where I1 represents the intensity of the first light (red light), and I2 represents the intensity of the second light (white spectrum). Since there are two unknowns I1 and I2, I1 and I2 can be solved using two equations. Therefore, when M2 is not equal to M1 and N2 is not equal to N1, the intensity I1 of the first light ray L1 and the intensity I2 of the second light ray L2 are obtained by S1, S2, M1, M2, N1 and N2. The solution of the above equation can be performed by the signal processing unit 50 or the central processing unit of the electronic device. Alternatively, according to the characteristics of the above two equations 1 and 2, the signal processing unit 50 can be used to compare the database 60 according to S1 and S2 to determine the object F in cooperation with the database 60 obtained by measuring the real finger and the fake finger in the experiment. , without first solving I1 and I2, which also provides another feasible way. Alternatively, the signal processing unit 50 may obtain the spectral information of the part VIP according to S1, S2, M1, M2, N1 and N2.

參見圖1B至圖5,在像素群組51與52中,使用感測像素10、第二感測像素20及第三感測像素30,接收值S31與S32合成第三感測值S3。因此,滿足上述方程式1、上述方程式2與下述方程式3: S3=M3*I1+N3*I2 =0.75*I1+0.25*I2   [方程式3]Referring to FIGS. 1B to 5 , in the pixel groups 51 and 52 , the sensing pixels 10 , the second sensing pixels 20 and the third sensing pixels 30 are used, and the received values S31 and S32 are used to synthesize the third sensing value S3 . Therefore, the above equation 1, the above equation 2 and the following equation 3 are satisfied: S3=M3*I1+N3*I2 =0.75*I1+0.25*I2 [Equation 3]

依據方程式1至方程式3,由於有兩個未知數I1與I2,所以信號處理單元50可以利用兩個方程式即可解出I1與I2,但是又有提供第三感測值S3,故可以避免感測誤差。因此,信號處理單元50可以藉由S1、S2、S3、M1、M2、M3、N1、N2及N3,依據上述三個方程式去求解,以最小化誤差的方式(譬如是最小平方法),求出I1與I2。或者,也可以依據上述三個方程式的特性,配合實驗所量測真實手指與假手指所獲得的資料庫60,利用信號處理單元50依據S1、S2與S3比對資料庫60以判斷物體F的真偽,而不用先將強度I1與I2解出。這也提供另一種可實施的方式。又或者,信號處理單元50可以依據S1、S2、M1、M2、M3、N1、N2及N3以獲得部位VIP的光譜信息。According to Equation 1 to Equation 3, since there are two unknowns I1 and I2, the signal processing unit 50 can use the two equations to solve I1 and I2, but also provides a third sensing value S3, so the sensing can be avoided error. Therefore, the signal processing unit 50 can use S1, S2, S3, M1, M2, M3, N1, N2 and N3 to solve the above three equations, in a way to minimize the error (for example, the least square method), to find Out I1 and I2. Alternatively, the signal processing unit 50 can be used to compare the database 60 according to S1, S2 and S3 to determine the object F according to the characteristics of the above three equations and the database 60 obtained by measuring the real finger and the fake finger in the experiment. Authenticity without first solving for intensities I1 and I2. This also provides another implementable way. Alternatively, the signal processing unit 50 may obtain the spectral information of the part VIP according to S1, S2, M1, M2, M3, N1, N2 and N3.

在使用感測像素10與第四感測像素40的情況下,藉由S1、S4、M1及N1可以獲得第二光線L2的強度I2,且信號處理單元50可以依據上述方程式1與下述方程式4解出I1與I2: S4= I2                          [方程式4]。In the case of using the sensing pixel 10 and the fourth sensing pixel 40, the intensity I2 of the second light L2 can be obtained through S1, S4, M1 and N1, and the signal processing unit 50 can be based on the above equation 1 and the following equation 4 Solve I1 and I2: S4 = I2 [Equation 4].

在像素群組51中,感測像素10、第二感測像素20與第三感測像素30排列成一直線。在像素群組52中,感測像素10、第二感測像素20與第三感測像素30交錯排列,且其中也交錯排列三個第四感測像素40。這表示本揭露內容的感測像素可以有多種排列方式,並不特別限制感測像素的排列方式。In the pixel group 51, the sensing pixels 10, the second sensing pixels 20 and the third sensing pixels 30 are arranged in a straight line. In the pixel group 52 , the sensing pixels 10 , the second sensing pixels 20 and the third sensing pixels 30 are staggered, and the three fourth sensing pixels 40 are also staggered. This means that the sensing pixels of the present disclosure can be arranged in various ways, and the arrangement of the sensing pixels is not particularly limited.

以下利用一個實際的數字例子來說明,假設虛擬相同部位發射的光的強度值為(r, g, b)=(120, 160, 200),第一感測像素具有25%的紅色光譜感測區及75%的白色光譜感測區,而第二感測像素具有50%的紅色光譜感測區及50%的白色光譜感測區。依據[方程式1],I1與I2分別代表紅色與白色強度值,從理論上而言,(I1, I2)=(120, 120+160+200)。實際感測時,第一感測像素與第二感測像素所得到的(S1, S2)=(390, 300)。依據[方程式1]與[方程式2]可以解出(I1, I2)=(120, 480),與理論值相同。當然,也可以從(S1, S2)=(390, 300),依據未知的(r, g, b)來解以下聯立方程式。 r+0.75g+0.75b=390 [方程式5] r+0.5g+0.5b=300 [方程式6] [方程式5]*2-[方程式6]*3可以消除掉g與b,獲得r=120,g+b=360,r+g+b=480,r/(g+b)=1/3,r/(r+g+b)=1/4。藉此可以利用r/(g+b)或r/(r+g+b)的範圍或比對資料庫,進行真偽判斷。另一方面,由於這兩個感測像素都有白光的成分,所以這兩個感測像素的白光成分都可以將其補償至完整感測像素的白光感測值,以當作譬如指紋的感測值,避免這兩個感測像素剛好感測到指紋的特徵點而造成資料遺漏的問題。當然,若進一步採用第三感測像素,則可以用數值解法來解出較佳的特定光信號強度。The following uses an actual numerical example to illustrate, assuming that the intensity value of the light emitted by the virtual same part is (r, g, b)=(120, 160, 200), and the first sensing pixel has 25% red spectrum sensing area and 75% white spectral sensing area, and the second sensing pixel has 50 percent red spectral sensing area and 50 percent white spectral sensing area. According to [Equation 1], I1 and I2 represent the red and white intensity values, respectively. In theory, (I1, I2)=(120, 120+160+200). During actual sensing, (S1, S2)=(390, 300) obtained by the first sensing pixel and the second sensing pixel. According to [Equation 1] and [Equation 2], (I1, I2)=(120, 480) can be solved, which is the same as the theoretical value. Of course, from (S1, S2)=(390, 300), the following simultaneous equations can also be solved according to the unknown (r, g, b). r+0.75g+0.75b=390 [Equation 5] r+0.5g+0.5b=300 [Equation 6] [Equation 5]*2-[Equation 6]*3 can eliminate g and b, get r=120, g+b=360, r+g+b=480, r/(g+b)=1/3 , r/(r+g+b)=1/4. In this way, the range of r/(g+b) or r/(r+g+b) or the comparison database can be used to judge the authenticity. On the other hand, since the two sensing pixels have white light components, the white light components of these two sensing pixels can be compensated to the white light sensing value of the complete sensing pixel, which can be used as a fingerprint sensor. The measured value can avoid the problem of data omission caused by the two sensing pixels just sensing the feature points of the fingerprint. Of course, if the third sensing pixel is further adopted, a numerical solution method can be used to obtain a better specific optical signal intensity.

可以理解的,當第一感測像素具有25%的紅色光譜感測區及75%的綠色光譜感測區,而第二感測像素具有50%的紅色光譜感測區及50%的綠色光譜感測區時,也可以藉由聯立方程式解出(r, g)以及r/g,作為真偽判斷的依據。其他狀況可以依此類推。It can be understood that when the first sensing pixel has 25% of the red spectrum sensing area and 75% of the green spectrum sensing area, and the second sensing pixel has 50% of the red spectrum sensing area and 50% of the green spectrum When sensing the area, (r, g) and r/g can also be solved by simultaneous equations, which can be used as the basis for authenticity judgment. Other conditions can be deduced by analogy.

應用上述的感測裝置,可以利用真人手指中含有微血管的不均勻分布,因此正常目視就可以發現手指顏色在幾何空間的分布不均勻,另外當手指開始觸控一表面(例如手機螢幕表面,其下方例如是屏下光學指紋感測器),手指內微血管受壓而阻礙血流,會更進一步改變手指的膚色,因此在時間域或空間域上產生顏色的變化。藉由上述兩種現象任一或全部,便可以判斷真手的特性,當然非真即假,也藉此避免假手指的攻擊。Using the above sensing device, the uneven distribution of microvessels in human fingers can be used, so normal visual inspection can find the uneven distribution of finger colors in geometric space, and when the finger starts to touch a surface (such as the surface of a mobile phone screen, its The lower part is, for example, an under-screen optical fingerprint sensor). The microvessels in the finger are compressed to block blood flow, which will further change the skin color of the finger, thus producing color changes in the time domain or space domain. By using either or both of the above two phenomena, the characteristics of the real hand can be judged, which of course is either true or false, thereby avoiding the attack of fake fingers.

藉由上述實施方式,依據感測像素的部分面積的佔有比例及感測像素感測受測部位所獲得的感測值,來定義出受測部位對應特定光譜的光譜信息。另外,採用具有不同佔有比例的不同光譜感測區的感測像素的感測裝置,利用由這些光譜感測區所組成的感測像素所獲得的光譜信息,可以定義出受測部位的光譜信息,作為活體判斷的依據,而不用犧牲受測部位的光譜信息。According to the above-mentioned embodiment, the spectral information corresponding to the specific spectrum of the measured part is defined according to the occupation ratio of the partial area of the sensing pixel and the sensing value obtained by the sensing pixel sensing the measured part. In addition, a sensing device using sensing pixels with different spectral sensing regions with different occupancy ratios can define the spectral information of the detected part by using the spectral information obtained by the sensing pixels formed by these spectral sensing regions. , as the basis for in vivo judgment without sacrificing the spectral information of the tested part.

在較佳實施例的詳細說明中所提出的具體實施例僅用以方便說明本發明的技術內容,而非將本發明狹義地限制於上述實施例,在不超出本發明的精神及申請專利範圍的情況下,所做的種種變化實施,皆屬於本發明的範圍。The specific embodiments proposed in the detailed description of the preferred embodiments are only used to facilitate the description of the technical content of the present invention, rather than limiting the present invention to the above-mentioned embodiments in a narrow sense, without exceeding the spirit of the present invention and the scope of the patent application Under the circumstance, all kinds of changes and implementations made belong to the scope of the present invention.

A11:有效面積 A13:有效面積 F:物體 L1:第一光線 L2:第二光線 M1:第一佔比 M2:第三佔比 M3:第五佔比 N1:第二佔比 N2:第四佔比 N3:第六佔比 S1:第一感測值 S11, S12:接收值 S2:第二感測值 S21, S22:接收值 S3:第三感測值 S4:第四感測值 VIP:部位 10:感測像素 11:光感測元 11A:第一部分 11B:第二部分 12:第一區 13:光譜分離元件 13A:第一光區 13B:第二光區 14:第二區 20:第二感測像素 22:第三區 24:第四區 30:第三感測像素 32:第五區 34:第六區 40:第四感測像素 45:感測基板 50:信號處理單元 51:像素群組 52:像素群組 53:像素群組 60:資料庫 70:光機結構 80:顯示器 100:感測裝置A11: Effective area A13: Effective area F: object L1: first ray L2: second ray M1: The first proportion M2: The third proportion M3: fifth proportion N1: The second proportion N2: the fourth proportion N3: sixth proportion S1: The first sensing value S11, S12: Receive value S2: The second sensing value S21, S22: Receive value S3: The third sensing value S4: Fourth sensed value VIP: Parts 10: Sensing pixels 11: Light sensor element 11A: Part 1 11B: Part II 12: District 1 13: Spectral separation element 13A: The first light zone 13B: The second light zone 14: Second District 20: Second sensing pixel 22: The third district 24: District 4 30: The third sensing pixel 32: District 5 34: District Six 40: Fourth sensing pixel 45: Sensing substrate 50: Signal processing unit 51: Pixel groups 52: Pixel groups 53: Pixel groups 60:Database 70: Opto-mechanical structure 80: Monitor 100: Sensing device

[圖1A]顯示依據本發明較佳實施例的感測像素的示意圖。 [圖1B]顯示依據本發明較佳實施例的感測裝置的應用的示意圖。 [圖2]顯示[圖1B]的多個感測像素的平面配置圖。 [圖3]至[圖5]顯示[圖1B]的三種感測像素的立體配置圖。[ FIG. 1A ] A schematic diagram showing a sensing pixel according to a preferred embodiment of the present invention. [ FIG. 1B ] A schematic diagram showing the application of the sensing device according to the preferred embodiment of the present invention. [ FIG. 2 ] A plan configuration diagram showing a plurality of sensing pixels of [ FIG. 1B ]. [ FIG. 3 ] to [ FIG. 5 ] show three-dimensional configuration diagrams of the three sensing pixels of [ FIG. 1B ].

10:感測像素10: Sensing pixels

12:第一區12: District 1

14:第二區14: Second District

20:第二感測像素20: Second sensing pixel

22:第一區22: District 1

24:第二區24: Second District

30:第三感測像素30: The third sensing pixel

32:第一區32: District 1

34:第二區34: Second District

40:第四感測像素40: Fourth sensing pixel

51:像素群組51: Pixel groups

52:像素群組52: Pixel groups

53:像素群組53: Pixel groups

100:感測裝置100: Sensing device

Claims (8)

一種感測裝置,至少包含多個排列成陣列的感測像素,該些感測像素至少包含:一第一感測像素,基於來自一物體的一部位的反射光獲得一第一感測值S1,並且具有一第一佔比M1的一第一區及一第二佔比N1的一第二區;及一第二感測像素,基於該反射光獲得一第二感測值S2,並且具有一第三佔比M2的一第三區以及一第四佔比N2的一第四區,該第一區及該第三區用於感測該反射光的第一光線,俾能依據至少M1、N1、M2、N2、S1與S2來定義該部位對應於該第一光線的光譜信息,其中該第二區與該第四區用於感測該部位的第二光線,該第二光線為白光光譜,且該第一光線為紅、綠或藍色光譜。 A sensing device, comprising at least a plurality of sensing pixels arranged in an array, the sensing pixels at least comprising: a first sensing pixel, obtaining a first sensing value S1 based on reflected light from a part of an object , and has a first area with a first proportion M1 and a second area with a second proportion N1; and a second sensing pixel, which obtains a second sensing value S2 based on the reflected light, and has A third region with a third ratio M2 and a fourth region with a fourth ratio N2, the first region and the third region are used for sensing the first light of the reflected light, so as to be able to sense at least M1 , N1, M2, N2, S1 and S2 to define the spectral information of the part corresponding to the first light, wherein the second area and the fourth area are used to sense the second light of the part, and the second light is White light spectrum, and the first light is red, green or blue spectrum. 如請求項1所述的感測裝置,其中該些感測像素更包含一第三感測像素,基於該反射光獲得一第三感測值S3,並且具有一第五佔比M3的一第五區以及一第六佔比N3的一第六區,該第五區用於感測該反射光的該第一光線,俾能依據至少M1、N1、M2、N2、M3、N3、S1、S2與S3來定義該部位對應於該第一光線的該光譜信息。 The sensing device according to claim 1, wherein the sensing pixels further comprise a third sensing pixel, obtain a third sensing value S3 based on the reflected light, and have a fifth ratio M3 Five areas and a sixth area with a sixth ratio N3, the fifth area is used for sensing the first light of the reflected light, so as to be able to detect at least M1, N1, M2, N2, M3, N3, S1, S2 and S3 define the part corresponding to the spectral information of the first light ray. 如請求項2所述的感測裝置,其中該第六區用於感測該反射光的第二光線。 The sensing device of claim 2, wherein the sixth area is used for sensing the second light of the reflected light. 如請求項2所述的感測裝置,其中該些感測像素更包含一第四感測像素,基於該反射光獲得代表該部位的全光譜信息的一第四感測值S4。 The sensing device of claim 2, wherein the sensing pixels further comprise a fourth sensing pixel, and a fourth sensing value S4 representing the full spectrum information of the part is obtained based on the reflected light. 一種感測裝置,至少包含多個排列成陣列的感測像素及一信號處理單元,其中該些感測像素至少包含:一第一感測像素,基於來自一物體的一部位的反射光獲得一第一感測值S1,並且具有一第一佔比M1的一第一區及一第二佔比N1的一第二區;及一第二感測像素,基於該反射光獲得一第二感測值S2,並且具有一第三佔比M2的一第三區以及一第四佔比N2的一第四區,該第一區及該第三區用於感測該反射光的第一光線,俾能依據至少M1、N1、M2、N2、S1與S2來定義該部位對應於該第一光線的光譜信息,其中該信號處理單元依據M1、N1、M2、N2、S1與S2與一資料庫中預存的資料進行比對,判斷該物體的真偽。 A sensing device at least includes a plurality of sensing pixels arranged in an array and a signal processing unit, wherein the sensing pixels at least include: a first sensing pixel, which obtains a The first sensing value S1 has a first area with a first proportion M1 and a second area with a second proportion N1; and a second sensing pixel, obtaining a second sense based on the reflected light The measured value S2 has a third area with a third proportion M2 and a fourth area with a fourth proportion N2, the first area and the third area are used for sensing the first light of the reflected light , so that the spectral information of the part corresponding to the first light can be defined according to at least M1, N1, M2, N2, S1 and S2, wherein the signal processing unit is based on M1, N1, M2, N2, S1 and S2 and a data Compare the pre-stored data in the library to judge the authenticity of the object. 一種感測裝置,至少包含多個排列成陣列的感測像素及一信號處理單元,其中該些感測像素至少包含:一第一感測像素,基於來自一物體的一部位的反射光獲得一第一感測值S1,並且具有一第一佔比M1的一第一區及一第二佔比N1的一第二區;一第二感測像素,基於該反射光獲得一第二感測值S2,並且具有一第三佔比M2的一第三區以及一第四佔比N2的一第四區;及一第三感測像素,基於該反射光獲得一第三感測值S3,並且具有一第五佔比M3的一第五區以及一第六佔比N3的一第六區,該第一區、該第三區及該第五區用於感測該反射光的第一光線,該第二區、該第四區及該第六區用於感測該反射光的第二光線,俾能依據至少M1、N1、M2、N2、M3、N3、S1、S2與S3來定義該部位對應於該第一光線的光譜信息,其中該信號處理單 元依據M1、N1、M2、N2、M3、N3、S1、S2與S3與一資料庫中預存的資料進行比對,判斷該物體的真偽。 A sensing device at least includes a plurality of sensing pixels arranged in an array and a signal processing unit, wherein the sensing pixels at least include: a first sensing pixel, which obtains a The first sensing value S1 has a first area with a first proportion M1 and a second area with a second proportion N1; a second sensing pixel obtains a second sensing based on the reflected light value S2, and has a third area with a third ratio M2 and a fourth area with a fourth ratio N2; and a third sensing pixel, based on the reflected light to obtain a third sensing value S3, and has a fifth area with a fifth proportion M3 and a sixth area with a sixth proportion N3, the first area, the third area and the fifth area are used for sensing the first reflected light Light, the second area, the fourth area and the sixth area are used for sensing the second light of the reflected light, so as to be able to detect the reflected light according to at least M1, N1, M2, N2, M3, N3, S1, S2 and S3 Define that the part corresponds to the spectral information of the first light, wherein the signal processing unit The element compares M1, N1, M2, N2, M3, N3, S1, S2 and S3 with pre-stored data in a database to judge the authenticity of the object. 如請求項6所述的感測裝置,其中該第二光線與該第一光線互不重疊。 The sensing device of claim 6, wherein the second light ray and the first light ray do not overlap each other. 一種感測裝置,至少包含多個排列成陣列的感測像素,該些感測像素至少包含:一第一感測像素,基於來自一物體的一部位的反射光獲得一第一感測值S1,並且具有一第一佔比M1的一第一區及一第二佔比N1的一第二區,該第一區感測該反射光的第一光線;及一第二感測像素,基於該反射光獲得一第二感測值S2,並且具有一第三佔比M2的一第三區以及一第四佔比N2的一第四區,該第三區用於感測該反射光的該第一光線,俾能依據至少M1、N1、M2、N2、S1與S2來定義該部位對應於該第一光線的光譜信息,其中該第二區與該第四區用於感測該部位的第二光線,其中該第二光線與該第一光線局部重疊。 A sensing device, comprising at least a plurality of sensing pixels arranged in an array, the sensing pixels at least comprising: a first sensing pixel, obtaining a first sensing value S1 based on reflected light from a part of an object , and has a first area with a first proportion M1 and a second area with a second proportion N1, the first area senses the first light of the reflected light; and a second sensing pixel, based on The reflected light obtains a second sensing value S2, and has a third region with a third ratio M2 and a fourth region with a fourth ratio N2, the third region is used for sensing the reflected light The first light is used to define the spectral information of the part corresponding to the first light according to at least M1, N1, M2, N2, S1 and S2, wherein the second area and the fourth area are used for sensing the part the second light ray, wherein the second light ray partially overlaps with the first light ray.
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