TW201804351A - Three-dimensional biometric feature identification system and method comprising an image sensor, a microprocessor unit and a display unit to recognize the identity of a person - Google Patents

Three-dimensional biometric feature identification system and method comprising an image sensor, a microprocessor unit and a display unit to recognize the identity of a person Download PDF

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TW201804351A
TW201804351A TW105123638A TW105123638A TW201804351A TW 201804351 A TW201804351 A TW 201804351A TW 105123638 A TW105123638 A TW 105123638A TW 105123638 A TW105123638 A TW 105123638A TW 201804351 A TW201804351 A TW 201804351A
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TWI576717B (en
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廖珗洲
子怡 林
林資竣
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朝陽科技大學
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Abstract

A biometric feature identification system comprises an image sensor, a microprocessor unit and a display unit. The microprocessor unit is separately electrically connected to the image sensor and the display unit. The image sensor detects and captures image data of a palm of a person to be identified for transferring to the microprocessor unit. The microprocessor unit has first logic algorithm for analyzing and calculating a relative position between each knuckle and a reference point to generate a first reference data. The microprocessor unit has a second logic algorithm for analyzing and calculating a relative thickness between each finger and the reference point to generate a second reference data. The microprocessor unit proceed with analysis and comparison according to the first and second reference data to generate identification data for transmission to the display unit to be displayed thereby for recognition of the identity of the person.

Description

三維生物特徵辨識系統及方法 Three-dimensional biometric identification system and method

本發明係有關於生物特徵辨識的技術,特別是指一種具有三維生物特徵辨識功能的系統及方法。 The invention relates to the technology of biometric identification, in particular to a system and method with a three-dimensional biometric identification function.

近年來,由於在各種環境及場合中的人員生命安全防護與相關的門禁安全管制等日益趨增之素,使得生物特徵辨識的技術亦漸漸地受到重視。而若以人類作為生物特徵辨識的技術中,大致上可區分為靜態生物特徵辨識技術以及動態生物特徵辨識技術;其中,該靜態生物特徵辨識技術即如熟知的指紋辨識(fingerprint)、人臉辨識或虹膜辨識(irises)、掌紋辨識(palm print)、耳朵辨識或靜脈紋路辨識(vein pattern)等等;其中,該動態生物特徵辨識技術即如個人步態辨識(gait)、個人姿態辨識(gesture)、個人聲音辨識或個人簽名辨識等等;以上皆是生物特徵辨識技術中數據資料的取樣來源及進行其分析運算。 In recent years, due to the increasing number of factors such as human life safety protection and related access control security controls in various environments and occasions, the technology of biometric identification has gradually received attention. And if human beings are used as the biometric identification technology, they can be roughly divided into static biometric identification technology and dynamic biometric identification technology. Among them, the static biometric identification technology is known as fingerprint and face recognition. Or irises recognition, palm print recognition, ear recognition or vein pattern recognition, etc .; among them, the dynamic biometric recognition technology is such as personal gait, personal gesture recognition ), Personal voice recognition or personal signature recognition, etc .; all of the above are the sampling sources of data and analysis operations in the biometric identification technology.

而基於前述所提之生物特徵辨識的既有技術,本發明係將揭露如何藉由分析運算人類手掌的各項特徵數據後,用以作為生物特徵辨識的依據,以期提升生物辨識的安全性。 Based on the aforementioned existing biometric identification technology, the present invention will disclose how to analyze and calculate various characteristic data of the human palm, and then use it as a basis for biometric identification in order to improve the security of biometric identification.

有鑒於前,本發明之目的乃在於提供一種具有三維生物特 徵辨識功能的系統,係藉由分析運算人類手掌之各指節與基準點的相對位置、各手指與基準點的相對厚度、各指節的寬度與各手指間併攏的間距位置等數據後,係用以作為三維生物特徵辨識的依據,進而增加偽造生物辨識特徵的困難度,提升生物辨識的安全性,藉以達成本發明所欲預期的功效及其目的。 In view of the foregoing, an object of the present invention is to provide a three-dimensional biological feature. The system with signature recognition function analyzes and calculates the relative positions of the knuckles and reference points of the human palm, the relative thickness of each finger and the reference point, the width of each knuckle, and the position of the space between the fingers. It is used as the basis for three-dimensional biometric identification, thereby increasing the difficulty of falsifying biometric characteristics and improving the security of biometric identification, so as to achieve the desired effect and purpose of the invention.

為達到上述目的,本發明提供一種三維生物特徵辨識系統,其包含有:一影像感測裝置、一微處理器單元以及一顯示單元,該微處理器單元係各別電性連接於該影像感測裝置與該顯示單元;而該影像感測裝置係用以感測擷取一欲辨識人員之手掌的影像數據,進而傳輸至該微處理器單元;該微處理器單元具有一第一演算邏輯以及一第二演算邏輯,該第一演算邏輯與該第二演算邏輯係可供該微處理器執行。 To achieve the above object, the present invention provides a three-dimensional biometric identification system, which includes: an image sensing device, a microprocessor unit, and a display unit. The microprocessor units are respectively electrically connected to the image sensor. A measuring device and the display unit; and the image sensing device is used for sensing and capturing image data of a palm of a person to be identified, and then transmitting the data to the microprocessor unit; the microprocessor unit has a first calculation logic And a second calculation logic, the first calculation logic and the second calculation logic are available for execution by the microprocessor.

其中,該微處理器單元之第一演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節與基準點的相對位置後,進而產生一第一基準數據。 The first calculation logic of the microprocessor unit is used to analyze and calculate the relative positions of the knuckles and reference points in the image data of the palm of the identifying person, and then generate a first reference data.

其中,該微處理器單元之第二演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指與基準點的相對厚度後,進而產生一第二基準數據。 The second calculation logic of the microprocessor unit is used to analyze and calculate the relative thickness of each finger and the reference point in the image data of the palm of the identifying person, and then generate a second reference data.

其中,該微處理器單元係依據該第一基準數據與該第二基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 The microprocessor unit performs analysis and comparison according to the first reference data and the second reference data, and then generates identification data and transmits it to the display unit for display, which is used to identify the characteristics and identity of personnel. in accordance with.

本發明更提供一種三維生物特徵辨識方法,其步驟包含有: The present invention further provides a three-dimensional biometric identification method. The steps include:

S1、提供一影像感測裝置、一微處理器單元以及一顯示單元,該微處理器單元係各別電性連接於該影像感測裝置與該顯示單元;該 微處理器單元係具有一第一演算邏輯以及一第二演算邏輯,而該第一演算邏輯與該第二演算邏輯係可供該微處理器執行。 S1. An image sensing device, a microprocessor unit, and a display unit are provided. The microprocessor unit is electrically connected to the image sensing device and the display unit, respectively. The microprocessor unit has a first calculation logic and a second calculation logic, and the first calculation logic and the second calculation logic can be executed by the microprocessor.

S2、將一欲辨識人員之手掌靠近該影像感測裝置一預定距離,該影像感測裝置係用以感測擷取該辨識人員之手掌的影像數據,進而傳輸至該微處理器單元。 S2. A palm of a person to be identified is brought closer to the image sensing device for a predetermined distance. The image sensing device is used to sense and capture image data of the palm of the person to be identified, and then transmit the data to the microprocessor unit.

S3、該微處理器單元之第一演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節與基準點的相對位置後,進而產生一第一基準數據。 S3. The first calculation logic of the microprocessor unit is used to analyze and calculate the relative positions of the knuckles and reference points in the image data of the palm of the identifying person, and then generate a first reference data.

S4、該微處理器單元之第二演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指與基準點的相對厚度後,進而產生一第二基準數據。 S4. The second calculation logic of the microprocessor unit is used to analyze and calculate the relative thickness of each finger and the reference point in the image data of the palm of the identifying person, and then generate a second reference data.

S5、該微處理器單元係依據該第一基準數據與該第二基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 S5. The microprocessor unit performs analysis and comparison according to the first reference data and the second reference data, and then generates identification data and transmits it to the display unit for display, which is used to identify the characteristics and identity of the personnel. in accordance with.

10、10A、10B‧‧‧三維生物特徵辨識系統 10, 10A, 10B‧‧‧Three-dimensional biometric identification system

100、100A、100B‧‧‧手掌 100, 100A, 100B ‧‧‧ Palm

20‧‧‧影像感測裝置 20‧‧‧Image sensing device

200‧‧‧待測平台 200‧‧‧Under test platform

30、30A、30B‧‧‧微處理器單元 30, 30A, 30B‧‧‧ microprocessor unit

31‧‧‧第一演算邏輯 31‧‧‧First calculus logic

33‧‧‧第二演算邏輯 33‧‧‧Second calculus logic

35A‧‧‧第三演算邏輯 35A‧‧‧The third calculation logic

37B‧‧‧第四演算邏輯 37B‧‧‧ Fourth calculus logic

40、40A、40B‧‧‧顯示單元 40, 40A, 40B‧‧‧ display unit

50、50A、50B‧‧‧資料庫單元 50, 50A, 50B‧‧‧Database Unit

B1‧‧‧基準點 B1‧‧‧ benchmark

B2‧‧‧基準點 B2‧‧‧ benchmark

D1‧‧‧第一基準數據 D1‧‧‧ first benchmark data

D2‧‧‧第二基準數據 D2‧‧‧Second benchmark data

D3‧‧‧第三基準數據 D3‧‧‧ Third benchmark data

D4‧‧‧第四基準數據 D4‧‧‧ Fourth benchmark data

I1、I2、I3‧‧‧辨識數據 I1, I2, I3‧‧‧Identification data

S1、S2、S3、S4、S5‧‧‧步驟 S1, S2, S3, S4, S5 ‧‧‧ steps

X‧‧‧步驟 X‧‧‧ steps

Y‧‧‧步驟 Y‧‧‧ steps

SN1‧‧‧身分認證正確訊號 SN1‧‧‧ Identity verification correct signal

SN2‧‧‧身分認證錯誤訊號 SN2‧‧‧ Identity authentication error signal

SN3‧‧‧終止訊號 SN3‧‧‧ Termination Signal

a1、a2、a3、a4、a5‧‧‧假想線 a1, a2, a3, a4, a5‧‧‧imaginary line

d1、d2、d3‧‧‧厚度差 d1, d2, d3‧‧‧thickness difference

w1、w2‧‧‧寬度 w1, w2‧‧‧Width

第1圖係為本發明第一較佳實施例之系統架構示意圖。 FIG. 1 is a schematic diagram of a system architecture of a first preferred embodiment of the present invention.

第2圖係為本發明第一較佳實施例之應用示意圖。 Figure 2 is a schematic diagram of the application of the first preferred embodiment of the present invention.

第3圖係為本發明第一較佳實施例之取樣示意圖。 FIG. 3 is a schematic diagram of sampling in the first preferred embodiment of the present invention.

第4圖係為本發明第一較佳實施例之取樣第一分析示意圖。 FIG. 4 is a first analysis diagram of sampling according to the first preferred embodiment of the present invention.

第5圖係為本發明第一較佳實施例之取樣第二分析示意圖。 FIG. 5 is a schematic diagram of the second analysis of sampling in the first preferred embodiment of the present invention.

第6圖係為本發明之第一流程步驟示意圖。 Figure 6 is a schematic diagram of the first process steps of the present invention.

第7圖係為本發明第二較佳實施例之系統架構示意圖。 FIG. 7 is a schematic diagram of a system architecture according to a second preferred embodiment of the present invention.

第8圖係為本發明第二較佳實施例之取樣分析示意圖。 FIG. 8 is a schematic diagram of sampling analysis of the second preferred embodiment of the present invention.

第9圖係為本發明之第二流程步驟示意圖。 Figure 9 is a schematic diagram of the second process step of the present invention.

第10圖係為本發明第三較佳實施例之系統架構示意圖。 FIG. 10 is a schematic diagram of a system architecture according to a third preferred embodiment of the present invention.

第11圖係為本發明第三較佳實施例之取樣第一分析示意圖。 FIG. 11 is a first analysis diagram of sampling in the third preferred embodiment of the present invention.

第12圖係為本發明第三較佳實施例之取樣第二分析示意圖。 FIG. 12 is a second analysis diagram of sampling in the third preferred embodiment of the present invention.

第13圖係為本發明之第三流程步驟示意圖。 FIG. 13 is a schematic diagram of the third process step of the present invention.

以下將藉由所列舉之實施例並配合所隨附之圖式,詳述本發明之結構特性與其預期功效,首先,以下闡述之各實施例及圖式中,相同之參考號碼,係表示相同或類似之元素、元件、物件、結構、系統、架構、裝置、流程、方法或步驟,合先敘明。 In the following, the structural characteristics and expected effects of the present invention will be described in detail through the listed examples and the accompanying drawings. First of all, in the embodiments and drawings described below, the same reference numbers indicate the same Or similar elements, components, objects, structures, systems, architectures, devices, processes, methods or steps are described first.

請先參閱第1至5圖,本發明係提供一種三維生物特徵辨識系統10,其包含有:一影像感測裝置20、一微處理器單元30、一顯示單元40以及一資料庫單元50;而該微處理器單元30係各別電性連接於該影像感測裝置20、該顯示單元40與該資料庫單元50。 Please refer to FIGS. 1 to 5 first, the present invention provides a three-dimensional biometric identification system 10, which includes: an image sensing device 20, a microprocessor unit 30, a display unit 40, and a database unit 50; The microprocessor unit 30 is electrically connected to the image sensing device 20, the display unit 40 and the database unit 50 respectively.

該影像感測裝置20係用以感測擷取一欲辨識人員之手掌100的影像數據,進而傳輸至該微處理器單元30。而於本實施例中,該影像感測裝置20係為包含但不限於RGB-D彩色-深度感測器、Kinect series、SoftKinetic DS325或PMD’s nimble UX等等,其感測生物特徵的距離已精進在幾公分至數十公分之間,而所感測擷取的影像數據係為具有彩色影像及深度的數據。 The image sensing device 20 is used for sensing and capturing image data of a palm 100 of a person to be identified, and then transmitting the image data to the microprocessor unit 30. In this embodiment, the image sensing device 20 includes, but is not limited to, an RGB-D color-depth sensor, Kinect series, SoftKinetic DS325 or PMD's nimble UX, etc., and its distance for sensing biological characteristics has been improved. It is between a few centimeters and several tens of centimeters, and the captured image data is data with color images and depth.

該微處理器單元30係具有一第一演算邏輯31以及一第二演 算邏輯33,該第一演算邏輯31與該第二演算邏輯33係可供該微處理器30執行。 The microprocessor unit 30 has a first calculation logic 31 and a second calculation logic. The arithmetic logic 33, the first arithmetic logic 31 and the second arithmetic logic 33 are available for execution by the microprocessor 30.

其中,該第一演算邏輯31係用以分析運算所擷取之辨識人員手掌100的影像數據中的各指節與基準點B1的相對位置後(而於本實施例中,如第3及4圖所示,該基準點B1係設定於中指的頂端位置,但非以此為限,亦可設定於任一指節的位置。),進而產生一第一基準數據D1,意即分析運算每根手指的水平指節紋路與該基準點B1的相對位置(包含距離、角度、光澤或膚色差等)。 Wherein, the first calculation logic 31 is used to analyze the relative positions of the knuckles and the reference point B1 in the image data of the palm 100 of the identifying person captured by the calculation (and in this embodiment, as in the third and fourth examples) As shown in the figure, the reference point B1 is set at the top position of the middle finger, but it is not limited to this, and it can also be set at the position of any knuckle.), And then a first reference data D1 is generated, which means that each analysis operation The horizontal position of the root finger refers to the relative position (including distance, angle, gloss, or skin tone difference) of the reference point B1.

其中,該第二演算邏輯33係用以分析運算所擷取之辨識人員手掌100的影像數據中的各手指與基準點B2的相對厚度後(而於本實施例中,如第2及5圖所示,當該欲辨識人員之手掌100放置於一待測平台200上時,係以該待測平台200中的一點設定為該基準點B2,但非以此為限。),進而產生一第二基準數據D2,意即分析運算各手指之各個指節與該基準點B2的相對厚度差(例如:定義左手大拇指第一節指腹與該基準點B2的相對厚度差為d1,又定義左手食指第一節指腹與該基準點B2的相對厚度差為d2,再定義左手中指第一節指腹與該基準點B2的相對厚度差為d3等)。而該第二演算邏輯33係先將該欲辨識人員之手掌100的彩色影像數據轉換為灰階影像數據,並透過一加速穩健特徵演算邏輯(speeded-up robust features,SURF,用以提供一個穩健的三維圖像識別和描述的演算邏輯)來產生可代表厚度或深度的影像特徵數據。 The second calculation logic 33 is used to analyze the relative thickness of each finger and the reference point B2 in the image data of the palm of the identifying person 100 obtained by the calculation (in this embodiment, as shown in FIGS. 2 and 5) As shown, when the palm 100 of the person to be identified is placed on a platform 200 to be tested, one point in the platform 200 to be tested is set as the reference point B2, but not limited to this.), And then a The second reference data D2 means analyzing and calculating the relative thickness difference between each knuckle of each finger and the reference point B2 (for example, defining the relative thickness difference between the first phalanx of the left thumb and the reference point B2 as d1, and Define the relative thickness difference between the first segment of the left index finger and the reference point B2 as d2, and define the relative thickness difference between the first segment of the left index finger and the reference point B2 as d3, etc.). The second calculation logic 33 first converts the color image data of the palm of the person to be identified 100 into grayscale image data, and then uses a speeded-up robust features (SURF) to provide a robust 3D image recognition and description algorithm) to generate image feature data that can represent thickness or depth.

該微處理器單元30係依據該第一基準數據D1與該第二基準數據D2來進行分析比對,進而產生一辨識數據I1並傳輸至該顯示單元40中予以顯示,用以辨識人員之特徵及身分的依據。 The microprocessor unit 30 performs analysis and comparison according to the first reference data D1 and the second reference data D2, and then generates identification data I1 and transmits the identification data I1 to the display unit 40 for display to identify the characteristics of personnel. And identity basis.

該資料庫單元50係用以存取該欲辨識人員之手掌100的彩 色影像數據以及該辨識數據I1。而於本實施例中,該資料庫單元50係為包含但不限於記憶體、硬碟、固態硬碟、記憶卡、隨身碟或隨身硬碟等裝置。 The database unit 50 is used to access the color of the palm 100 of the person to be identified. Color image data and the identification data I1. In this embodiment, the database unit 50 is a device including, but not limited to, a memory, a hard disk, a solid-state hard disk, a memory card, a portable disk, or a portable hard disk.

而當該欲辨識人員為複數時,係可透過本發明所提供之三維生物特徵辨識系統10來各別判斷各該欲辨識人員之手掌100中各個特徵辨識,並且將各該辨識數據I1儲存至該資料庫單元50中各別對應的儲存空間中,以便於日後進行校驗、分析、辨識等程序的比對數據。 When the person to be identified is plural, the three-dimensional biometric identification system 10 provided by the present invention can be used to individually judge each feature identification in the palm 100 of the person to be identified, and the identification data I1 are stored to The corresponding storage space in the database unit 50 is used for comparison data of verification, analysis, identification and other programs in the future.

而於本實施例中,其相較於習知技術的技術特徵與其顯著功效乃在於:首先,透過該三維生物特徵辨識系統10之影像感測裝置20來感測擷取欲辨識人員之手掌100的影像數據,並傳輸至該微處理器單元30中;接著,藉由執行該第一演算邏輯31來分析運算所擷取之辨識人員手掌100的影像數據中的各指節與該基準點B1的相對位置後,進而產生該第一基準數據D1;接著,藉由執行該第二演算邏輯33來分析運算所擷取之辨識人員手掌100的影像數據中的各手指與該基準點B2的相對厚度後,進而產生該第二基準數據D2;接著,該微處理器單元30將依據該第一基準數據D1與該第二基準數據D2來進行分析比對,進而產生該辨識數據I1並傳輸至該顯示單元40中予以顯示,用以作為判斷該欲辨識人員之手掌100中各個特徵辨識的依據。較佳地,該微處理器單元30係該欲辨識人員之手掌100的彩色影像數據以及該辨識數據I1儲存至該資料庫單元50中,進而完成初始化建置歸檔程序。 In this embodiment, the technical features and significant effects compared to the conventional technology are: First, the image sensing device 20 of the three-dimensional biometric recognition system 10 is used to sense and capture the palm 100 of a person to be identified. The image data is transmitted to the microprocessor unit 30. Then, the knuckles and the reference point B1 in the image data of the palm 100 of the identifying person are analyzed and calculated by executing the first calculation logic 31. After the relative position of, the first reference data D1 is generated. Then, the second calculation logic 33 is executed to analyze and calculate the relative of each finger in the image data of the palm 100 of the identifying person and the reference point B2. After the thickness, the second reference data D2 is generated. Then, the microprocessor unit 30 performs analysis and comparison according to the first reference data D1 and the second reference data D2, and then generates the identification data I1 and transmits the identification data I1 to It is displayed in the display unit 40 and used as a basis for judging the identification of each feature in the palm 100 of the person to be identified. Preferably, the microprocessor unit 30 is the color image data of the palm 100 of the person to be identified and the identification data I1 is stored in the database unit 50, and then the initialization and archiving process is completed.

而當欲藉由該三維生物特徵辨識系統10來進行該欲辨識人員的身份認證時,首先,透過該影像感測裝置20來進行感測擷取該欲辨識人員之手掌100的彩色影像數據,進而傳輸至該微處理器單元30;接著,該微處理器單元30將依據該欲辨識人員之手掌100的彩色影像數據,來與原先已完成初始化建置歸檔程序且儲存於該資料庫單元50中的該辨識數據I1進 行校驗、分析與辨識的比對程序;接著,倘若當該微處理器單元30經分析比對該欲辨識人員之手掌100的彩色影像數據與該資料庫單元50之辨識數據I1二者數據相符時,則將傳輸一身分認證正確訊號SN1至該顯示單元40中予以顯示;倘若當該微處理器單元30經分析比對該欲辨識人員之手掌100的彩色影像數據與該資料庫單元50之辨識數據I1二者數據不相符時,則將傳輸一身分認證錯誤訊號SN2至該顯示單元40中予以顯示。 When the three-dimensional biometric identification system 10 is to be used to perform identity authentication of the person to be identified, first, the image sensing device 20 is used to perform sensing and capture the color image data of the palm 100 of the person to be identified. Then, it is transmitted to the microprocessor unit 30. Then, the microprocessor unit 30 will be based on the color image data of the palm 100 of the person to be identified, and it will complete the initial establishment of the archiving program and store it in the database unit 50. The identification data I1 A comparison program for verification, analysis, and identification; then, if the microprocessor unit 30 analyzes and compares the color image data of the palm 100 of the person to be identified with the identification data I1 of the database unit 50 When they match, an identity authentication correct signal SN1 is transmitted to the display unit 40 for display; if the microprocessor unit 30 is analyzed and compared with the color image data of the palm 100 of the person to be identified and the database unit 50 When the identification data I1 and the data do not match, an identity authentication error signal SN2 is transmitted to the display unit 40 for display.

較佳地,而當該三維生物特徵辨識系統10之微處理器單元30產生該身分認證錯誤訊號SN2達到一預定臨界次數(例如:3次以上)時,此時,該三維生物特徵辨識系統10之微處理器單元30將產生一終止訊號SN3,係用以終止該三維生物特徵辨識系統10任一構件的作動;藉以提升生物特徵辨識的安全性,進而達成本發明所預期之功效及其目的。 Preferably, when the microprocessor unit 30 of the three-dimensional biometric identification system 10 generates the identity authentication error signal SN2 reaching a predetermined critical number (for example, more than three times), at this time, the three-dimensional biometric identification system 10 The microprocessor unit 30 will generate a termination signal SN3, which is used to terminate the operation of any component of the three-dimensional biometric identification system 10; thereby improving the security of the biometric identification, and thereby achieving the expected effect and purpose of the present invention. .

以上為詮釋本發明之第一較佳實施例的技術特徵及其功效。其後,將繼續闡述可應用於本發明之第一較佳實施例的一種三維生物特徵辨識方法。 The above is an explanation of the technical features and effects of the first preferred embodiment of the present invention. Hereinafter, a three-dimensional biometric identification method applicable to the first preferred embodiment of the present invention will be described.

請再參閱第6圖,係本發明所提供之一種三維生物特徵辨識方法,其步驟包含有: Please refer to FIG. 6 again, which is a three-dimensional biometric identification method provided by the present invention. The steps include:

S1步驟、提供一影像感測裝置20、一微處理器單元30以及一顯示單元40,該微處理器單元30係各別電性連接於該影像感測裝置20與該顯示單元40;該微處理器單元30係具有一第一演算邏輯31以及一第二演算邏輯33,而該第一演算邏輯31與該第二演算邏輯33係可供該微處理器30執行。 In step S1, an image sensing device 20, a microprocessor unit 30, and a display unit 40 are provided. The microprocessor unit 30 is electrically connected to the image sensing device 20 and the display unit 40, respectively. The processor unit 30 has a first calculation logic 31 and a second calculation logic 33, and the first calculation logic 31 and the second calculation logic 33 are available for execution by the microprocessor 30.

S2步驟、將一欲辨識人員之手掌靠近該影像感測裝置20一預定距離,該影像感測裝置20係用以感測擷取該辨識人員之手掌的影像數據,進而傳輸至該微處理器單元30。 In step S2, a palm of a person to be identified is brought closer to the image sensing device 20 by a predetermined distance, and the image sensing device 20 is used to sense and capture image data of the palm of the person to be identified, and then transmit the data to the microprocessor. Unit 30.

S3步驟、該微處理器單元30之第一演算邏輯31係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節與基準點的相對位置後,進而產生一第一基準數據D1。 In step S3, the first calculation logic 31 of the microprocessor unit 30 is used to analyze and calculate the relative positions of the knuckles and reference points in the image data of the palm of the identifying person, and then generate a first reference data. D1.

S4步驟、該微處理器單元30之第二演算邏輯33係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指與基準點的相對厚度後,進而產生一第二基準數據D2。 In step S4, the second calculation logic 33 of the microprocessor unit 30 is used to analyze and calculate the relative thickness of each finger and the reference point in the image data of the palm of the identifying person, and then generate a second reference data D2. .

S5步驟、而該微處理器單元30係依據該第一基準數據D1與該第二基準數據D2來進行分析比對,進而產生一辨識數據I1並傳輸至該顯示單元40中予以顯示,用以辨識人員之特徵及身分的依據。 In step S5, the microprocessor unit 30 performs analysis and comparison according to the first reference data D1 and the second reference data D2, and then generates identification data I1 and transmits it to the display unit 40 for display, for The basis for identifying the characteristics and identity of personnel.

而於該S5步驟中,係更包含有一資料庫單元50且電性連接於該微處理器單元30,而該資料庫單元50係用以存取該辨識人員之手掌100的彩色影像數據以及該辨識數據I1。 In step S5, a database unit 50 is further included and is electrically connected to the microprocessor unit 30. The database unit 50 is used to access the color image data of the palm 100 of the identifying person and the Identification data I1.

緣此,藉以達到應用於本發明之第一較佳實施例的三維生物特徵辨識方法及其功效。其後,將繼續闡述本發明之第二較佳實施例的技術特徵及其功效。 Therefore, the three-dimensional biometric identification method and its effects applied to the first preferred embodiment of the present invention are achieved. Thereafter, the technical features and effects of the second preferred embodiment of the present invention will be explained.

請再參閱第7及8圖,係本發明所提供之一種三維生物特徵辨識系統10A,主要係概同於前揭第一實施例,而其不同之處乃在於:該微處理器單元30A具有一第三演算邏輯35A並可供該微處理器30A執行;而第三演算邏輯35A係用以分析運算所擷取之辨識人員手掌100A的影像數據中的各指節的寬度後(例如:係分析運算出食指第一節寬度為w1,接著再分析運算出食指第二節寬度為w2等,以此類推直至分析運算出各個手指之各指節的寬度),進而產生一第三基準數據D3並傳輸至該微處理器單元30A;而該微處理器單元30A係依據該第一基準數據D1、該第二基準數據D2與該第三基準數據D3來進行分析比對,進而產生一辨識數據 I2並傳輸至該顯示單元40A中予以顯示,用以辨識人員特徵及身分的依據。 Please refer to FIGS. 7 and 8 again, which is a three-dimensional biometric identification system 10A provided by the present invention, which is mainly similar to the first embodiment disclosed above, and the difference is that the microprocessor unit 30A has A third calculation logic 35A can be executed by the microprocessor 30A; and the third calculation logic 35A is used to analyze the width of each knuckle in the image data of the palm of the identification person 100A (for example: The width of the first index finger is w1, then the width of the second index finger is w2, and so on, and so on until the width of each knuckle of each finger is analyzed and calculated), and then a third reference data D3 is generated. And transmitted to the microprocessor unit 30A; and the microprocessor unit 30A performs analysis and comparison according to the first reference data D1, the second reference data D2 and the third reference data D3, and then generates identification data I2 is transmitted to the display unit 40A for display, which is used to identify the characteristics and identity of the person.

同樣地,倘若當該微處理器單元30A經分析比對該欲辨識人員之手掌100A的彩色影像數據與該資料庫單元50A之辨識數據I2二者數據相符時,則將傳輸一身分認證正確訊號SN1至該顯示單元40A中予以顯示;倘若當該微處理器單元30A經分析比對該欲辨識人員之手掌100A的彩色影像數據與該資料庫單元50A之辨識數據I2二者數據不相符時,則將傳輸一身分認證錯誤訊號SN2至該顯示單元40A中予以顯示。 Similarly, if the microprocessor unit 30A analyzes and compares the color image data of the palm 100A of the person to be identified with the identification data I2 of the database unit 50A, an identity verification correct signal will be transmitted SN1 to the display unit 40A are displayed; if the microprocessor unit 30A analyzes and compares the color image data of the palm 100A of the person to be identified with the identification data I2 of the database unit 50A, the data does not match, An identity authentication error signal SN2 is transmitted to the display unit 40A for display.

同樣地,當該欲辨識人員為複數時,係可透過本發明所提供之三維生物特徵辨識系統10A來各別判斷各該欲辨識人員之手掌100A中各個特徵辨識,並且將各該辨識數據I2儲存至該資料庫單元50A中各別對應的儲存空間中,以便於日後進行校驗、分析、辨識等程序的比對數據。 Similarly, when the person to be identified is plural, the three-dimensional biometric identification system 10A provided by the present invention can be used to individually judge each feature in the palm 100A of the person to be identified, and each of the identification data I2 is identified. It is stored in the corresponding storage space in the database unit 50A, so that the comparison data of the verification, analysis, identification and other programs can be performed in the future.

以上為詮釋本發明之第二較佳實施例的技術特徵及其功效。其後,將繼續闡述可應用於本發明之第二較佳實施例的一種三維生物特徵辨識方法。 The above is an explanation of the technical features and effects of the second preferred embodiment of the present invention. Hereinafter, a three-dimensional biometric identification method applicable to the second preferred embodiment of the present invention will be described.

請再參閱第9圖,係本發明所提供之一種三維生物特徵辨識方法,其主要步驟係概同於前揭第一實施例方法中的該S1步驟至該S5步驟,而其不同之處乃在於:其更包含有至少一步驟X,即該微處理器單元30A具有一第三演算邏輯35A並可供該微處理器30A執行;而該第三演算邏輯35A係用以分析運算所擷取之辨識人員手掌100A的影像數據中的各指節的寬度後,進而產生一第三基準數據D3並傳輸至該微處理器單元30A;而該微處理器單元30A係依據該第一基準數據D1、該第二基準數據D2與該第三基準數據D3來進行分析比對,進而產生一辨識數據I2並傳輸至該顯示單元40A中予以顯示,用以辨識人員之特徵及身分的依據。 Please refer to FIG. 9 again, which is a three-dimensional biometric identification method provided by the present invention. The main steps are the same as the steps S1 to S5 in the method of the first embodiment disclosed above, and the difference is The reason is that it further includes at least one step X, that is, the microprocessor unit 30A has a third calculation logic 35A and can be executed by the microprocessor 30A; and the third calculation logic 35A is used for analyzing and extracting data. After identifying the width of each knuckle in the image data of the palm of the operator 100A, a third reference data D3 is generated and transmitted to the microprocessor unit 30A; and the microprocessor unit 30A is based on the first reference data D1 2. The second reference data D2 and the third reference data D3 are analyzed and compared, and then an identification data I2 is generated and transmitted to the display unit 40A for display, which is used to identify the characteristics and identity of the person.

較佳地,該步驟X係可於該S2至該S4任一步驟之後執行;而當該步驟X為複數時,該步驟X係可介於該S2與該S3二步驟之間、該S3與該S4二步驟之間或該S4與該S5二步驟之間各別執行。而於本實施例中,係先執行該S4步驟,接著再執行該步驟X,最後再執行該S5步驟。 Preferably, the step X can be performed after any of the steps S2 to S4; and when the step X is plural, the step X can be between the two steps of the S2 and the S3, the S3 and the Perform separately between the two steps of S4 or between the two steps of S4 and S5. In this embodiment, the step S4 is performed first, then the step X is performed, and finally the step S5 is performed.

以上為詮釋本發明之第二較佳實施例系統及其方法的技術特徵及其功效。其後,將繼續闡述本發明之第三較佳實施例的技術特徵及其功效。 The above are the technical features and effects of the system and method according to the second preferred embodiment of the present invention. Thereafter, the technical features and effects of the third preferred embodiment of the present invention will be explained.

請再參閱第10至12圖,係本發明所提供之一種三維生物特徵辨識系統10B,主要概同於前揭第一、第二實施例,而其不同之處乃在於:該微處理器單元30B具有一第四演算邏輯37B並可供該微處理器30B執行;而該第四演算邏輯37B係用以分析運算所擷取之辨識人員手掌100B的影像數據中各手指間併攏的間距位置後(例如:首先,分別定義出各手指之間併攏後所劃分的假想線,係定義拇指與食指併攏後二者之間的假想線為a1,接著,分析運算出拇指與食指併攏後二者的間距值;係又定義食指與中指併攏後二者之間的假想線為a2,接著,分析運算出食指與中指併攏後二者的間距值;係又定義中指與無名指併攏後二者之間的假想線為a3,接著,分析運算出中指與無名指併攏後二者的間距值;係又定義無名指與尾指併攏後二者之間的假想線為a4,接著,分析運算出無名指與尾指併攏後二者的間距值;最後定義切齊尾指邊緣的假想線為a5。),進而產生一第四基準數據D4並傳輸至該微處理器單元30B;而該微處理器單元30B係依據該第一基準數據D1、該第二基準數據D2、該第三基準數據D3與該第四基準數據D4來進行分析比對,進而產生一辨識數據I3並傳輸至該顯示單元40B中予以顯示,用以辨識人員之特徵及身分的依據。 Please refer to FIGS. 10 to 12 again, which is a three-dimensional biometric identification system 10B provided by the present invention, which is mainly similar to the first and second embodiments disclosed above, and the difference is that the microprocessor unit 30B has a fourth calculation logic 37B and can be executed by the microprocessor 30B; and the fourth calculation logic 37B is used to analyze the position of the close distance between the fingers in the image data of the palm of the identification person 100B acquired by the calculation (For example: First, define the imaginary line divided between the fingers after they are brought together, and define the imaginary line between the thumb and the index finger after they are brought together as a1. Then, analyze and calculate the The distance between the index finger and the middle finger is defined as a2. Then, the distance between the index finger and the middle finger is analyzed and calculated; the distance between the middle finger and the ring finger is also defined. The imaginary line is a3. Then, the distance between the middle finger and the ring finger is analyzed and calculated. The imaginary line between the ring finger and the tail finger is defined as a4. Then, the ring finger is analyzed and calculated. The distance between the two after the tail fingers are brought together; finally, the imaginary line that cuts the edges of the tail fingers is defined as a5.), And then a fourth reference data D4 is generated and transmitted to the microprocessor unit 30B; An analysis comparison is performed according to the first reference data D1, the second reference data D2, the third reference data D3 and the fourth reference data D4, and then an identification data I3 is generated and transmitted to the display unit 40B. Display, used to identify the characteristics and identity of personnel.

同樣地,倘若當該微處理器單元30B經分析比對該欲辨識人 員之手掌100B的彩色影像數據與該資料庫單元50B之辨識數據I3二者數據相符時,則將傳輸一身分認證正確訊號SN1至該顯示單元40B中予以顯示;倘若當該微處理器單元30B經分析比對該欲辨識人員之手掌100B的彩色影像數據與該資料庫單元50B之辨識數據I3二者數據不相符時,則將傳輸一身分認證錯誤訊號SN2至該顯示單元40B中予以顯示。 Similarly, if the microprocessor unit 30B is analyzed and compared to the person to be identified When the color image data of the palm of the staff member 100B matches the data of the identification data I3 of the database unit 50B, an identity authentication correct signal SN1 will be transmitted to the display unit 40B for display; if the microprocessor unit 30B After analyzing and comparing the color image data of the palm 100B of the person to be identified with the identification data I3 of the database unit 50B, an identity authentication error signal SN2 is transmitted to the display unit 40B for display.

同樣地,當該欲辨識人員為複數時,係可透過本發明所提供之三維生物特徵辨識系統10B來各別判斷各該欲辨識人員之手掌100B中各個特徵辨識,並且將各該辨識數據I3儲存至該資料庫單元50B中各別對應的儲存空間中,以便於日後進行校驗、分析、辨識等程序的比對數據。 Similarly, when the person to be identified is plural, the three-dimensional biometric identification system 10B provided by the present invention can be used to individually judge each feature in the palm 100B of the person to be identified, and each of the identification data I3 is identified. It is stored in the corresponding storage space in the database unit 50B, so as to facilitate comparison data of verification, analysis, identification and other programs in the future.

以上為詮釋本發明之第三較佳實施例的技術特徵及其功效。其後,將繼續闡述可應用於本發明之第三較佳實施例的一種三維生物特徵辨識方法。 The above is an explanation of the technical features and effects of the third preferred embodiment of the present invention. Thereafter, a three-dimensional biometric identification method applicable to the third preferred embodiment of the present invention will be described.

請再參閱第13圖,係本發明所提供之一種三維生物特徵辨識方法,其主要步驟係概同於前揭第一、第二實施例方法中的該S1步驟至該S5步驟,而其不同之處乃在於:其更包含有至少一步驟Y,即該微處理器單元30B具有一第四演算邏輯37B並可供該微處理器30B執行;而該第四演算邏輯37B係用以分析運算所擷取之辨識人員手掌100B的影像數據中各手指間併攏的間距位置後,進而產生一第四基準數據D4並傳輸至該微處理器單元30B;而該微處理器單元30B係依據該第一基準數據D1、該第二基準數據D2、該第三基準數據D3與該第四基準數據D4來進行分析比對,進而產生一辨識數據I3並傳輸至該顯示單元40B中予以顯示,用以辨識人員之特徵及身分的依據。 Please refer to FIG. 13 again, which is a three-dimensional biometric identification method provided by the present invention. The main steps are the same as the steps S1 to S5 in the methods of the first and second embodiments, but they are different. The point is that it further includes at least one step Y, that is, the microprocessor unit 30B has a fourth calculation logic 37B and can be executed by the microprocessor 30B; and the fourth calculation logic 37B is used for analysis and calculation The captured image data of the palm of the hand of the identification person 100B is used to generate a fourth reference data D4 and transmitted to the microprocessor unit 30B. The microprocessor unit 30B is based on the first A reference data D1, the second reference data D2, the third reference data D3 and the fourth reference data D4 are analyzed and compared, and then an identification data I3 is generated and transmitted to the display unit 40B for display, which is used to display The basis for identifying the characteristics and identity of personnel.

較佳地,該步驟Y係可於該S2至該S4任一步驟之後執行,而當該步驟Y為複數時,該步驟Y係可介於該S2與該S3二步驟之間、該S3與該 S4二步驟之間或該S4與該S5二步驟之間各別執行。而於本實施例中,係先執行該S4步驟,接著再執行該步驟X,接著再執行該步驟Y,最後再執行該S5步驟。 Preferably, the step Y can be performed after any of the steps S2 to S4, and when the step Y is plural, the step Y can be between the two steps of the S2 and the S3, the S3 and the The Perform separately between the two steps of S4 or between the two steps of S4 and S5. In this embodiment, step S4 is performed first, then step X is performed, then step Y is performed, and then step S5 is performed.

最後,必須再次說明,凡於本發明所屬技術領域中具有通常知識者應能明確知悉,該等詳細說明以及本發明所列舉之實施例,僅適於說明本發明之結構、方法、流程等及其欲達成之功效,而非用以限制本發明之申請專利範圍的範疇,其他等效元素、元件、物件、結構、裝置、方法或流程之替代或變化,亦應為本案之申請專利範圍所涵蓋。 Finally, it must be stated again that those with ordinary knowledge in the technical field to which the present invention pertains should be able to clearly understand that these detailed descriptions and the examples listed in the present invention are only suitable for explaining the structure, method, process, etc. of the present invention and The effect it intends to achieve is not intended to limit the scope of the patent application scope of the present invention. Other equivalent elements, components, objects, structures, devices, methods or processes shall also be substituted or changed for the scope of patent application of this case. Covered.

10‧‧‧三維生物特徵辨識系統 10‧‧‧Three-dimensional biometric identification system

100‧‧‧手掌 100‧‧‧ Palm

20‧‧‧影像感測裝置 20‧‧‧Image sensing device

30‧‧‧微處理器單元 30‧‧‧ Microprocessor Unit

31‧‧‧第一演算邏輯 31‧‧‧First calculus logic

33‧‧‧第二演算邏輯 33‧‧‧Second calculus logic

40‧‧‧顯示單元 40‧‧‧display unit

50‧‧‧資料庫單元 50‧‧‧Database Unit

Claims (10)

一種三維生物特徵辨識系統,其包含有:一影像感測裝置、一微處理器單元以及一顯示單元,該微處理器單元係各別電性連接於該影像感測裝置與該顯示單元;而該影像感測裝置係用以感測擷取一欲辨識人員之手掌的影像數據,進而傳輸至該微處理器單元;該微處理器單元具有一第一演算邏輯以及一第二演算邏輯,該第一演算邏輯與該第二演算邏輯係可供該微處理器執行;其中,該微處理器單元之第一演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節與基準點的相對位置後,進而產生一第一基準數據;其中,該微處理器單元之第二演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指與基準點的相對厚度後,進而產生一第二基準數據;其中,該微處理器單元係依據該第一基準數據與該第二基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 A three-dimensional biometric identification system includes: an image sensing device, a microprocessor unit, and a display unit. The microprocessor unit is electrically connected to the image sensing device and the display unit respectively; and The image sensing device is used for sensing and capturing image data of a palm of a person to be identified, and then transmitting the image data to the microprocessor unit. The microprocessor unit has a first calculation logic and a second calculation logic. The first calculation logic and the second calculation logic are available for execution by the microprocessor; wherein the first calculation logic of the microprocessor unit is used to analyze the fingers in the image data of the palm of the identifying person acquired by the calculation After the relative position between the node and the reference point, a first reference data is generated; wherein, the second calculation logic of the microprocessor unit is used to analyze the fingers and reference in the image data of the palm of the identifying person captured by the operation After the relative thickness of the points, a second reference data is generated; wherein, the microprocessor unit performs an analysis ratio based on the first reference data and the second reference data. , Thereby generating and transmitting an identification to be displayed in the display unit, according to feature recognition and identity of personnel. 依據申請專利範圍第1項所述之三維生物特徵辨識系統,其中,該微處理器單元具有一第三演算邏輯並可供該微處理器執行;而該第三演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節的寬度後,進而產生一第三基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據與該第三基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 According to the three-dimensional biometric identification system described in item 1 of the scope of patent application, wherein the microprocessor unit has a third calculation logic and can be executed by the microprocessor; and the third calculation logic is used to analyze the calculation office. After acquiring the width of each knuckle in the image data of the palm of the identifying person, a third reference data is generated and transmitted to the microprocessor unit; and the microprocessor unit is based on the first reference data, the first The second reference data and the third reference data are analyzed and compared, and then an identification data is generated and transmitted to the display unit for display, which is used to identify the characteristics and identity of the person. 依據申請專利範圍第2項所述之三維生物特徵辨識系統,其中,該微處理器單元具有一第四演算邏輯並可供該微處理器執行;而該第四演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指間併攏的間距位置後,進而產生一第四基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據、該第三基準數據與該第四基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 According to the three-dimensional biometric identification system according to item 2 of the scope of the patent application, wherein the microprocessor unit has a fourth calculation logic and can be executed by the microprocessor; and the fourth calculation logic is used to analyze the calculation office. The captured image data of the palms of the identification personnel is used to generate a fourth reference data and transmit it to the microprocessor unit, and the microprocessor unit is based on the first reference data, The second reference data, the third reference data and the fourth reference data are analyzed and compared, and then an identification data is generated and transmitted to the display unit for display, which is used to identify the characteristics and identity of the person. 依據申請專利範圍第1項所述之三維生物特徵辨識系統,其中,該微處理器單元具有一第四演算邏輯並可供該微處理器執行;而該第四演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指間併攏的間距位置後,進而產生一第四基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據、該第三基準數據與該第四基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 According to the three-dimensional biometric identification system described in item 1 of the scope of patent application, wherein the microprocessor unit has a fourth calculation logic and can be executed by the microprocessor; and the fourth calculation logic is used to analyze an arithmetic operation office. The captured image data of the palms of the identification personnel is used to generate a fourth reference data and transmit it to the microprocessor unit, and the microprocessor unit is based on the first reference data, The second reference data, the third reference data and the fourth reference data are analyzed and compared, and then an identification data is generated and transmitted to the display unit for display, which is used to identify the characteristics and identity of the person. 依據申請專利範圍第1至4項其中任何一項所述之三維生物特徵辨識系統,其更包含有一資料庫單元且電性連接於該微處理器單元,而該資料庫單元係用以存取該辨識人員之手掌的影像數據以及該辨識數據。 According to the three-dimensional biometric identification system described in any one of the claims 1 to 4, it further includes a database unit and is electrically connected to the microprocessor unit, and the database unit is used to access Image data of the palm of the identifying person and the identifying data. 一種三維生物特徵辨識方法,其步驟包含有:S1、提供一影像感測裝置、一微處理器單元以及一顯示單元,該微處理器單元係各別電性連接於該影像感測裝置與該顯示單元;該微處理器單元係具有一第一演算邏輯以及一第二演算邏輯,而該第一演算邏輯與該第二演算邏輯係可供該微處理器執行; S2、將一欲辨識人員之手掌靠近該影像感測裝置一預定距離,該影像感測裝置係用以感測擷取該辨識人員之手掌的影像數據,進而傳輸至該微處理器單元;S3、該微處理器單元之第一演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節與基準點的相對位置後,進而產生一第一基準數據;S4、該微處理器單元之第二演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各手指與基準點的相對厚度後,進而產生一第二基準數據;以及S5、該微處理器單元係依據該第一基準數據與該第二基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據。 A three-dimensional biometric identification method includes the steps of S1, providing an image sensing device, a microprocessor unit, and a display unit. The microprocessor units are electrically connected to the image sensing device and the image sensor. A display unit; the microprocessor unit has a first calculation logic and a second calculation logic, and the first calculation logic and the second calculation logic are available for the microprocessor to execute; S2. A palm of a person to be identified is brought closer to the image sensing device by a predetermined distance, and the image sensing device is used to sense and capture image data of the palm of the person to be identified, and then transmit the data to the microprocessor unit; S3 The first calculation logic of the microprocessor unit is used to analyze the relative positions of the knuckles and the reference point in the image data of the palm of the identifying person, and then generate a first reference data; S4, the The second calculation logic of the microprocessor unit is used to analyze and calculate the relative thickness of each finger and the reference point in the image data of the palm of the identifying person, and then generate a second reference data; and S5, the microprocessing The controller unit performs analysis and comparison based on the first reference data and the second reference data, and then generates identification data and transmits it to the display unit for display, which is used to identify the basis of the characteristics and identity of the person. 依據申請專利範圍第6項所述之三維生物特徵辨識方法,其更包含有至少一步驟X,即該微處理器單元具有一第三演算邏輯並可供該微處理器執行;而該第三演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中的各指節的寬度後,進而產生一第三基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據與該第三基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據;其中,該步驟X可於該S2至該S4任一步驟之後執行,而當該步驟X為複數時,該步驟X可介於該S2與該S3二步驟之間、該S3與該S4二步驟之間或該S4與該S5二步驟之間各別執行。 According to the three-dimensional biometric identification method described in item 6 of the scope of patent application, it further includes at least one step X, that is, the microprocessor unit has a third calculation logic and can be executed by the microprocessor; and the third The calculation logic is used to analyze the width of each knuckle in the image data of the palm of the identifying person captured by the calculation, and then generate a third reference data and transmit it to the microprocessor unit; and the microprocessor unit is based on The first reference data, the second reference data and the third reference data are analyzed and compared, and then an identification data is generated and transmitted to the display unit for display, which is used to identify the characteristics and identity of the person; The step X may be performed after any of the steps from S2 to S4, and when the step X is plural, the step X may be between the S2 and the S3 two steps, the S3 and the S4 two steps Occasionally, the steps S4 and S5 are performed separately. 依據申請專利範圍第7項所述之三維生物特徵辨識方法,其更包含有至少一步驟Y,即該微處理器單元具有一第四演算邏輯並可供該微處理器執行;而該第四演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據 中各手指間併攏的間距位置後,進而產生一第四基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據、該第三基準數據與該第四基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據;其中,該步驟Y係可於該S2至該S4任一步驟之後執行,而當該步驟Y為複數時,該步驟Y係可介於該S2與該S3二步驟之間、該S3與該S4二步驟之間或該S4與該S5二步驟之間各別執行。 According to the three-dimensional biometric identification method described in item 7 of the scope of the patent application, it further includes at least one step Y, that is, the microprocessor unit has a fourth calculation logic and can be executed by the microprocessor; and the fourth The calculation logic is used to analyze the image data of the palm of the identifying person captured by the calculation After the distance between the fingers in the middle, a fourth reference data is generated and transmitted to the microprocessor unit; and the microprocessor unit is based on the first reference data, the second reference data, and the third reference The data is compared with the fourth reference data, and then an identification data is generated and transmitted to the display unit for display, which is used to identify the characteristics and identity of the person; wherein step Y can be performed in S2 to Performed after any step of the S4, and when the step Y is plural, the step Y may be between the S2 and the S3 two steps, the S3 and the S4 two steps, or the S4 and the S5 two Perform each step separately. 依據申請專利範圍第6項所述之三維生物特徵辨識方法,其更包含有至少一步驟Y,即該微處理器單元具有一第四演算邏輯並可供該微處理器執行;而該第四演算邏輯係用以分析運算所擷取之辨識人員手掌的影像數據中各手指間併攏的間距位置後,進而產生一第四基準數據並傳輸至該微處理器單元;而該微處理器單元係依據該第一基準數據、該第二基準數據、該第三基準數據與該第四基準數據來進行分析比對,進而產生一辨識數據並傳輸至該顯示單元中予以顯示,用以辨識人員之特徵及身分的依據;其中,該步驟Y係可於該S2至該S4任一步驟之後執行,而當該步驟Y為複數時,該步驟Y係可介於該S2與該S3二步驟之間、該S3與該S4二步驟之間或該S4與該S5二步驟之間各別執行。 According to the three-dimensional biometric identification method described in item 6 of the scope of the patent application, it further includes at least one step Y, that is, the microprocessor unit has a fourth calculation logic and can be executed by the microprocessor; and the fourth The calculation logic is used to analyze the image data of the palm of the identification person captured by the calculation, and then the fourth reference data is generated and transmitted to the microprocessor unit; and the microprocessor unit is Analyze and compare according to the first reference data, the second reference data, the third reference data, and the fourth reference data, and then generate identification data and transmit it to the display unit for display to identify the personnel. Features and identity basis; wherein step Y can be performed after any of the steps S2 to S4, and when step Y is plural, step Y can be between the two steps of S2 and S3 2. The two steps of S3 and S4 or the two steps of S4 and S5 are performed separately. 依據申請專利範圍第6至9項其中任何一項所述之三維生物特徵辨識方法,其更包含有一資料庫單元且電性連接於該微處理器單元,而該資料庫單元係用以存取該辨識人員之手掌的影像數據以及該辨識數據。 According to the three-dimensional biometric identification method described in any one of claims 6-9, it further includes a database unit and is electrically connected to the microprocessor unit, and the database unit is used for access Image data of the palm of the identifying person and the identifying data.
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