TWI795724B - An identity verification method and an identity verification system - Google Patents

An identity verification method and an identity verification system Download PDF

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TWI795724B
TWI795724B TW110103783A TW110103783A TWI795724B TW I795724 B TWI795724 B TW I795724B TW 110103783 A TW110103783 A TW 110103783A TW 110103783 A TW110103783 A TW 110103783A TW I795724 B TWI795724 B TW I795724B
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image
facial image
license plate
registration data
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TW202232370A (en
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張佑任
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神達數位股份有限公司
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Abstract

An identity verification method is implemented by a processing unit and includes the step of: receiving register data including a register license plate number and a raw facial image; bluring a least a part of the raw facial image to generate a blured facial image; deleting the raw facial image; adding the blured facial image into the register data; receiving a license plate image to be verified and a facial image to be verified; recognizing the license plate image to be verified to generate a license plate number to be verified; and, upon determining that license plate number to be verified matches the register license plate number of the register data and the similarity of the facial image to be verified and the blured facial image of the register data reaches a predetermined similarity threshold, generating a successful verification result.

Description

身分驗證方法及身分驗證系統Identity verification method and identity verification system

本發明是有關於一種身分驗證方法,特別是指一種涉及影像辨識技術的身分驗證方法。本發明還有關於一種身分驗證系統。 The present invention relates to an identity verification method, in particular to an identity verification method involving image recognition technology. The invention also relates to an identity verification system.

影像辨識是目前身分驗證機制常用的技術手段。身分驗證系統透過比對分析待驗證臉部影像與預存臉部影像的相似度以決定是否通過驗證。然而,預存臉部影像儲存在雲端有被駭客竊取的資安風險。如何改善前述現有技術的缺點,是本發明進一步要探討的主題。 Image recognition is a commonly used technical means in current identity verification mechanisms. The identity verification system determines whether to pass the verification by comparing and analyzing the similarity between the face image to be verified and the pre-stored face image. However, storing the pre-stored facial images in the cloud poses a security risk of being stolen by hackers. How to improve the above-mentioned shortcoming of the prior art is a subject to be further discussed in the present invention.

因此,本發明的目的,即在提供一種身分驗證方法。 Therefore, the object of the present invention is to provide an identity verification method.

本發明的另一目的,在於提供一種身分驗證系統。 Another object of the present invention is to provide an identity verification system.

於是,本發明身分驗證方法,藉由一處理單元執行,該 方法包含:接收一註冊資料,該註冊資料包含一註冊車牌號碼及一原始臉部影像;將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料;接收一待驗證車牌影像及一待驗證臉部影像;辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符;判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值;及當判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,產生一驗證成功結果。 Therefore, the identity verification method of the present invention is executed by a processing unit, the The method includes: receiving registration data, the registration data including a registered license plate number and an original facial image; at least partially blurring the original facial image to generate a blurred facial image, and deleting the original facial image, and add the blurred facial image to the registration information; receive a license plate image to be verified and a face image to be verified; identify the license plate image to be verified to generate a license plate number to be verified, and determine the license plate number to be verified and the Whether the registered license plate number in the registration data matches; whether the similarity between the facial image to be verified and the blurred facial image in the registered data reaches a predetermined similarity threshold; and when it is determined that the license plate number to be verified and The registered license plate number of the registration data matches, and the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, and a successful verification result is generated.

在一些實施態樣中,接收的該註冊資料還包含一支付資料,除了接收該待驗證車牌影像及該待驗證臉部影像外還接收一消費金額,該方法還包含:產生該驗證成功結果後,根據該註冊資料的該支付資料及該消費金額執行一支付程序。 In some implementations, the received registration information also includes a payment information. In addition to receiving the license plate image to be verified and the face image to be verified, a consumption amount is also received. The method also includes: after generating the successful verification result , executing a payment procedure according to the payment information of the registration information and the consumption amount.

在一些實施態樣中,所述的身分驗證方法,還包含:在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之後,將該待驗證臉部影像刪除。 In some implementation aspects, the identity verification method further includes: after judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, The image of the face to be verified is deleted.

在一些實施態樣中,接收的該註冊資料還包含一安全層級設定資料,於判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之前自多個分別對 應於多個安全層級資料的相似度門檻值選出對應之該安全層級資料與該安全層級設定資料相符者當作該預定相似度門檻值。 In some implementations, the received registration data also includes a security level setting data, which is used to determine whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold Previously from multiple pairs From the similarity thresholds of multiple security level data, select the corresponding security level data that is consistent with the security level setting data as the predetermined similarity threshold.

在一些實施態樣中,在接收該待驗證臉部影像之後且在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之前,還以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化。在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值的步驟中,是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。 In some implementation aspects, after receiving the facial image to be verified and before judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, The facial image to be verified is at least partially blurred in the same manner as the original facial image is blurred. In the step of judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, it is judged that the facial image to be verified after blurring and the registration data Whether the similarity of the blurred facial image reaches the predetermined similarity threshold.

本發明身分驗證系統,包含一影像拍攝裝置、一終端電腦裝置,及一驗證伺服器。該驗證伺服器儲存有一註冊資料,該註冊資料包含一註冊車牌號碼及一原始臉部影像。 The identity verification system of the present invention includes an image capturing device, a terminal computer device, and a verification server. The verification server stores a registration data, and the registration data includes a registered license plate number and an original face image.

該驗證伺服器將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料。 The verification server at least partially blurs the original facial image to generate a blurred facial image, deletes the original facial image, and adds the blurred facial image to the registration data.

該影像拍攝裝置拍攝一車輛的一車牌以產生一待驗證車牌影像,並拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證車牌影像及該待驗證臉部影像傳送給該終端電腦裝置。 The image capturing device photographs a license plate of a vehicle to generate a license plate image to be verified, and photographs a driver of the vehicle to generate a facial image to be verified, and transmits the license plate image to be verified and the facial image to be verified Give the terminal computer device.

該終端電腦裝置將該待驗證車牌影像及該待驗證臉部影 像傳送給該驗證伺服器。 The terminal computer device uses the image of the license plate to be verified and the image of the face to be verified image to the authentication server.

該驗證伺服器辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符。 The verification server identifies the license plate image to be verified to generate a license plate number to be verified, and judges whether the license plate number to be verified matches the registered license plate number of the registration data.

該驗證伺服器判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值。 The verification server determines whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold.

當該驗證伺服器判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,該驗證伺服器產生一驗證成功結果。 When the verification server determines that the license plate number to be verified matches the registered license plate number in the registration data, and the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold value, the authentication server generates a successful authentication result.

本發明身分驗證系統,包含一影像拍攝裝置、一終端電腦裝置、一車內影像拍攝裝置及一驗證伺服器。 The identity verification system of the present invention includes an image capture device, a terminal computer device, an in-vehicle image capture device and a verification server.

該車內影像拍攝裝置適於設置於一車輛內,且儲存有一裝置識別資料。 The in-vehicle image capture device is suitable for being arranged in a vehicle and stores a device identification data.

該驗證伺服器儲存有一註冊資料,該註冊資料包含一註冊車牌號碼、一原始臉部影像及該裝置識別資料。 The verification server stores a registration data, which includes a registration license plate number, an original face image and the device identification data.

該驗證伺服器將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料。 The verification server at least partially blurs the original facial image to generate a blurred facial image, deletes the original facial image, and adds the blurred facial image to the registration data.

該影像拍攝裝置拍攝該車輛的一車牌以產生一待驗證車 牌影像,並將該待驗證車牌影像傳送給該終端電腦裝置。 The image capturing device captures a license plate of the vehicle to generate a vehicle to be verified license plate image, and the image of the license plate to be verified is transmitted to the terminal computer device.

該終端電腦裝置將該待驗證車牌影像傳送給該驗證伺服器。 The terminal computer device transmits the license plate image to be verified to the verification server.

該驗證伺服器辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符。 The verification server identifies the license plate image to be verified to generate a license plate number to be verified, and judges whether the license plate number to be verified matches the registered license plate number of the registration data.

當該驗證伺服器判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,該驗證伺服器根據該註冊資料的該裝置識別資料傳送一駕駛影像請求給該車內影像拍攝裝置。 When the verification server judges that the license plate number to be verified matches the registered license plate number in the registration data, the verification server sends a driving image request to the in-vehicle image capture device according to the device identification data in the registration data.

當該車內影像拍攝裝置接收到該駕駛影像請求,該車內影像拍攝裝置拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證臉部影像及該裝置識別資料傳送給該驗證伺服器。 When the in-vehicle image capture device receives the driving image request, the in-vehicle image capture device captures a driver of the vehicle to generate a facial image to be verified, and transmits the facial image to be verified and the device identification data to the authentication server.

該驗證伺服器判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值。 The verification server determines whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold.

當該驗證伺服器判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,該驗證伺服器產生一驗證成功結果。 When the verification server determines that the license plate number to be verified matches the registered license plate number in the registration data, and the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold value, the authentication server generates a successful authentication result.

本發明的功效在於:藉由該驗證伺服器將該原始臉部影像至少局部模糊化以產生該模糊化臉部影像,並刪除該原始臉部影 像,可以避免駭客侵入系統時獲得該原始臉部影像,從而提高系統安全性,再者,藉由刪除該待驗證臉部影像,同樣可以避免駭客侵入系統時獲得該待驗證臉部影像,此外,藉由該驗證伺服器產生該驗證成功結果後根據該註冊資料的該支付資料及該消費金額執行該支付程序,可以讓駕駛人不需下車、不需拿取現金、信用卡或手機就能完成支付,從而增加支付的便利性。 The effect of the present invention lies in: using the verification server to at least partially blur the original facial image to generate the blurred facial image, and delete the original facial image It can prevent hackers from obtaining the original facial image when invading the system, thereby improving system security. Furthermore, by deleting the facial image to be verified, it can also prevent hackers from obtaining the facial image to be verified when intruding into the system. In addition, after the verification server generates the successful verification result, the payment procedure is executed according to the payment information of the registration information and the consumption amount, so that the driver does not need to get out of the car, and does not need to take cash, credit card or mobile phone. Payment can be completed, thereby increasing the convenience of payment.

100:身分驗證系統 100: Identity Verification System

1:影像拍攝裝置 1: Image capture device

2:終端電腦裝置 2: Terminal computer device

3:驗證伺服器 3: Verify the server

4:車內影像拍攝裝置 4: In-vehicle image capture device

S01~S03:步驟 S01~S03: Steps

S11~S18:步驟 S11~S18: steps

S21~S31:步驟 S21~S31: Steps

本發明的其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:圖1是本發明身分驗證系統的一第一實施例的一硬體連接關係示意圖;圖2是該第一實施例的一流程圖,說明一影像處理程序;圖3是該第一實施例的另一流程圖,說明一驗證暨支付程序;圖4是本發明身分驗證系統的一第二實施例的一硬體連接關係示意圖;及圖5(包含圖5A及圖5B)是該第二實施例的一流程圖,說明該驗證暨支付程序。 Other features and effects of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: Fig. 1 is a schematic diagram of a hardware connection relationship of a first embodiment of the identity verification system of the present invention; Fig. 2 is the schematic diagram of the hardware connection A flow chart of the first embodiment, illustrating an image processing program; FIG. 3 is another flow chart of the first embodiment, illustrating a verification and payment program; FIG. 4 is a second embodiment of the identity verification system of the present invention A schematic diagram of hardware connections; and FIG. 5 (including FIG. 5A and FIG. 5B ) is a flowchart of the second embodiment, illustrating the verification and payment procedure.

在本發明被詳細描述之前,應當注意在以下的說明內容中,類似的元件是以相同的編號來表示。 Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same numerals.

參閱圖1與圖2,本發明身分驗證系統100的一第一實施例,包含一影像拍攝裝置1、一終端電腦裝置2及一驗證伺服器3。該終端電腦裝置2與該影像拍攝裝置1電連接而能接收該影像拍攝裝置1拍攝產生的內容,且與該驗證伺服器3透過通訊網路通訊。該影像拍攝裝置1及該終端電腦裝置2例如設置於一商家(例如加油站、速食店消費車道或停車場)。 Referring to FIG. 1 and FIG. 2 , a first embodiment of the identity verification system 100 of the present invention includes an image capture device 1 , a terminal computer device 2 and a verification server 3 . The terminal computer device 2 is electrically connected with the image capture device 1 to receive the content captured by the image capture device 1 and communicate with the verification server 3 through a communication network. The image capture device 1 and the terminal computer device 2 are, for example, set up in a business (such as a gas station, a fast food restaurant consumption lane or a parking lot).

該驗證伺服器3儲存有一註冊資料、多個安全層級資料及多個分別對應於該等安全層級資料的相似度門檻值。該註冊資料包含一註冊車牌號碼、一原始臉部影像、一支付資料及一安全層級設定資料。 The verification server 3 stores a registration data, a plurality of security level data and a plurality of similarity thresholds respectively corresponding to the security level data. The registration data includes a registered license plate number, an original face image, a payment data and a security level setting data.

該註冊資料例如是接收自使用者操作的電子裝置(例如智慧型手機、平板電腦、膝上型電腦或桌上型電腦)。該等安全層級資料例如分別指示低度安全層級、中度安全層級及高度安全層級,該等相似度門檻值例如分別指示40%、60%及80%的相似度,但不以此為限。該註冊資料的該安全層級設定資料用於供使用者設定安全層級為低度安全層級、中度安全層級及高度安全層級其中一者。該註冊資料的該支付資料例如為一信用卡資料。 The registration information is, for example, received from an electronic device operated by a user (such as a smart phone, a tablet computer, a laptop computer or a desktop computer). The security level data respectively indicate low security level, medium security level and high security level, and the similarity threshold values respectively indicate 40%, 60% and 80% similarity, but not limited thereto. The security level setting data of the registration data is used for the user to set the security level as one of low security level, medium security level and high security level. The payment information of the registration information is, for example, a credit card information.

參閱圖1及圖2,以下說明該身分驗證系統100執行一影 像處理程序。首先,如步驟S01所示,該驗證伺服器3將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像。舉例來說,該驗證伺服器3可以是將該原始臉部影像當中的眼睛部位打上馬賽克,或者,也可以是將整張原始臉部影像以低通濾波器處理。前述影像模糊化的程度可以是系統預設的程度,也可以是由使用者透過註冊資料指定的程度。 Referring to Fig. 1 and Fig. 2, the following describes the implementation of the identity verification system 100 like handler. First, as shown in step S01 , the verification server 3 at least partially blurs the original facial image to generate a blurred facial image. For example, the verification server 3 may mosaic the eye parts in the original facial image, or process the entire original facial image with a low-pass filter. The degree of image blurring mentioned above can be the degree preset by the system, or the degree specified by the user through the registration information.

接著,如步驟S02所示,該驗證伺服器3刪除該原始臉部影像。 Next, as shown in step S02, the verification server 3 deletes the original facial image.

接著,如步驟S03所示,該驗證伺服器3將該模糊化臉部影像加入該註冊資料。 Next, as shown in step S03, the verification server 3 adds the blurred facial image into the registration data.

藉由該影像處理程序,可以避免駭客侵入系統時獲得該原始臉部影像,從而提高系統安全性。 By means of the image processing program, it is possible to prevent hackers from obtaining the original face image when intruding into the system, thereby improving system security.

參閱圖1及圖3,以下說明該身分驗證系統100執行一驗證暨支付程序。首先,如步驟S11所示,該影像拍攝裝置1拍攝一車輛的一車牌以產生一待驗證車牌影像,並拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證車牌影像及該待驗證臉部影像傳送給該終端電腦裝置2。 Referring to FIG. 1 and FIG. 3 , the identity verification system 100 performs a verification and payment procedure as follows. First, as shown in step S11, the image capture device 1 photographs a license plate of a vehicle to generate a license plate image to be verified, and photographs a driver of the vehicle to generate a face image to be verified, and takes the license plate to be verified The image and the facial image to be verified are sent to the terminal computer device 2 .

接著,如步驟S12所示,該終端電腦裝置2將該待驗證車牌影像及該待驗證臉部影像經由通訊網路傳送給該驗證伺服器3。在本實施例中,該終端電腦裝置2除了將該待驗證車牌影像及該待 驗證臉部影像傳送給該驗證伺服器3之外,還將一消費金額(例如加油之油資、速食餐飲消費金額或停車費)傳送給該驗證伺服器3。 Next, as shown in step S12, the terminal computer device 2 transmits the license plate image to be verified and the face image to be verified to the verification server 3 via the communication network. In this embodiment, in addition to the image of the license plate to be verified and the image of the license plate to be verified, the terminal computer device 2 In addition to sending the verification facial image to the verification server 3 , a consumption amount (such as fuel for refueling, fast food consumption or parking fee) is also sent to the verification server 3 .

接著,如步驟S13所示,該驗證伺服器3,例如使用光學字元辨識技術,辨識該待驗證車牌影像以產生一待驗證車牌號碼。 Next, as shown in step S13, the verification server 3, for example, uses optical character recognition technology, to identify the image of the license plate to be verified to generate a license plate number to be verified.

接著,如步驟S14所示,該驗證伺服器3判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值。在本實施例中,該驗證伺服器3自該等相似度門檻值選出對應之該安全層級資料與該安全層級設定資料相符者當作該預定相似度門檻值。 Next, as shown in step S14, the verification server 3 judges whether the license plate number to be verified matches the registered license plate number in the registration data, and the facial image to be verified is consistent with the blurred facial image in the registration data. Whether the similarity reaches a predetermined similarity threshold. In this embodiment, the verification server 3 selects from the similarity thresholds the one whose corresponding security level data matches the security level setting data as the predetermined similarity threshold.

若步驟S14判斷為否,則執行步驟S15,該驗證伺服器3產生一驗證失敗結果。 If the determination in step S14 is negative, step S15 is executed, and the verification server 3 generates a verification failure result.

若步驟S14判斷為是,也就是當該驗證伺服器3判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,則執行步驟S16,該驗證伺服器3產生一驗證成功結果。 If step S14 is judged to be yes, that is, when the verification server 3 judges that the license plate number to be verified matches the registered license plate number of the registration data, and the face image to be verified matches the blurred face of the registration data. When the image similarity reaches the predetermined similarity threshold, step S16 is executed, and the verification server 3 generates a verification success result.

接著,如步驟S17所示,該驗證伺服器3產生該驗證成功結果後,根據該註冊資料的該支付資料及該消費金額執行一支付程序。於成功執行完該支付程序後,該驗證伺服器3可以回傳一支付 成功通知給該終端電腦裝置2。 Next, as shown in step S17, after the verification server 3 generates the successful verification result, it executes a payment procedure according to the payment data and the consumption amount of the registration data. After successfully executing the payment procedure, the verification server 3 may return a payment The terminal computer device 2 is notified of success.

最後,如步驟S18所示,該驗證伺服器3將該待驗證臉部影像刪除。 Finally, as shown in step S18, the verification server 3 deletes the facial image to be verified.

藉由該驗證暨支付程序中車牌及臉部之雙重驗證可以提供良好的安全驗證機制,再者,藉由刪除該待驗證臉部影像,可以避免駭客侵入系統時獲得該待驗證臉部影像,從而提高系統安全性,此外,藉由搭配驗證成功後的支付步驟,可以讓駕駛人不需下車、不需拿取現金、信用卡或手機就能完成支付,從而增加支付的便利性。 The dual verification of the license plate and face in the verification and payment program can provide a good security verification mechanism. Furthermore, by deleting the face image to be verified, it is possible to prevent hackers from obtaining the face image to be verified when they invade the system , so as to improve the security of the system. In addition, by matching the payment steps after successful verification, the driver can complete the payment without getting out of the car, without taking cash, credit card or mobile phone, thereby increasing the convenience of payment.

補充說明的是,在另一實施態樣中,該終端電腦裝置2將該待驗證臉部影像傳送給該驗證伺服器3之前(在步驟S12之前),還以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化。該終端電腦裝置2將該待驗證臉部影像傳送給該驗證伺服器3時(在步驟S12中),是將糊化後的該待驗證臉部影像傳送給該驗證伺服器3。該驗證伺服器3在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值時(在步驟S14中),是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。藉此,可以避免發生未經模糊化的該待驗證臉部影像在雲端被駭客竊取的情況。 It is supplemented that, in another embodiment, before the terminal computer device 2 transmits the facial image to be verified to the verification server 3 (before step S12), it also blurs the original facial image In the same manner, at least a part of the face image to be verified is blurred. When the terminal computer device 2 transmits the facial image to be verified to the verification server 3 (in step S12 ), it transmits the fuzzy facial image to be verified to the verification server 3 . When the verification server 3 judges whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold (in step S14), it judges that the blurred facial image Whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold. Thereby, the situation that the unfuzzy facial image to be verified is stolen by hackers in the cloud can be avoided.

參閱圖4及圖5(包含圖5A及圖5B),本發明身分驗證系統100的一第二實施例與第二實施例相近,相同之處不予贅述,其差異說明如下。 Referring to FIG. 4 and FIG. 5 (including FIG. 5A and FIG. 5B ), a second embodiment of the identity verification system 100 of the present invention is similar to the second embodiment, and the similarities will not be repeated. The differences are described as follows.

該身分驗證系統100在本實施例中還包含一車內影像拍攝裝置4。該車內影像拍攝裝置4具有連網功能而能透過網際網路與該驗證伺服器3通訊。該車內影像拍攝裝置4適於設置於該車輛內,且儲存有一裝置識別資料(例如裝置序號)。該驗證伺服器3儲存的該註冊資料還包含該裝置識別資料。 In this embodiment, the identity verification system 100 also includes an in-vehicle image capture device 4 . The in-vehicle image capture device 4 has a networking function and can communicate with the verification server 3 through the Internet. The in-vehicle image capturing device 4 is suitable for being arranged in the vehicle, and stores a device identification data (such as a device serial number). The registration data stored in the verification server 3 also includes the device identification data.

該第二實施例的該影像處理程序與該第一實施例相同。至於該驗證暨支付程序之差異說明如下。 The image processing procedure of the second embodiment is the same as that of the first embodiment. The differences in the verification and payment procedures are described below.

步驟S21與步驟S11相近,只是該影像拍攝裝置1僅用於拍攝該車輛的該車牌以產生該待驗證車牌影像,而不用於拍攝該車輛的該駕駛人,並且僅將該待驗證車牌影像傳送給該終端電腦裝置2。 Step S21 is similar to step S11, except that the image capture device 1 is only used to capture the license plate of the vehicle to generate the image of the license plate to be verified, not to capture the driver of the vehicle, and only transmits the image of the license plate to be verified Give the terminal computer device 2.

步驟S22與步驟S12相近,只是該終端電腦裝置2僅將該待驗證車牌影像傳送給該驗證伺服器3。 Step S22 is similar to step S12, except that the terminal computer device 2 only transmits the image of the license plate to be verified to the verification server 3 .

步驟S23與步驟S13相同。 Step S23 is the same as step S13.

步驟S24是該驗證伺服器3判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符,若否,則執行步驟S25,產生一驗證失敗結果,若是,則執行步驟S26。 In step S24, the verification server 3 judges whether the license plate number to be verified is consistent with the registered license plate number in the registration data. If not, execute step S25 to generate a verification failure result. If yes, execute step S26.

步驟S26是當該驗證伺服器3判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,該驗證伺服器3根據該註冊資料的該裝置識別資料傳送一駕駛影像請求給該車內影像拍攝裝置4。 Step S26 is when the verification server 3 determines that the license plate number to be verified matches the registered license plate number of the registration data, the verification server 3 sends a driving image request to the vehicle interior image according to the device identification data of the registration data Camera 4.

接著,如步驟S27所示,當該車內影像拍攝裝置4接收到該駕駛影像請求,該車內影像拍攝裝置4拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證臉部影像及該裝置識別資料傳送給該驗證伺服器3。 Next, as shown in step S27, when the in-vehicle image capturing device 4 receives the driving image request, the in-vehicle image capturing device 4 captures a driver of the vehicle to generate a face image to be verified, and the image to be verified The verification facial image and the device identification data are sent to the verification server 3 .

接著,如步驟S28所示,該驗證伺服器3判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值,若否,則接著執行步驟S25,若是,則接著執行步驟S29~S31。步驟S29~S31與步驟S16~S18相同。簡而言之,該第二實施例與該第一實施例主要的差別在於該待驗證臉部影像是由該車內影像拍攝裝置4提供給該驗證伺服器3,而非由該影像拍攝裝置1提供給該驗證伺服器3。 Next, as shown in step S28, the verification server 3 judges whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold, if not, proceed to the following steps S25, if yes, then execute steps S29-S31. Steps S29-S31 are the same as steps S16-S18. In short, the main difference between the second embodiment and the first embodiment is that the face image to be verified is provided to the verification server 3 by the in-vehicle image capture device 4 instead of by the image capture device 1 is provided to the authentication server 3 .

補充說明的是,在另一實施態樣中,車內影像拍攝裝置4將該待驗證臉部影像傳送給該驗證伺服器3之前,還以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化。車內影像拍攝裝置4將該待驗證臉部影像傳送給該驗證伺服器3時(在步驟S27中),是將糊化後的該待驗證臉部影像傳送給該驗證伺服 器3。該驗證伺服器3在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值時(在步驟S28中),是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。藉此,可以避免發生未經模糊化的該待驗證臉部影像在雲端被駭客竊取的情況。 It is supplemented that, in another embodiment, before the in-vehicle image capture device 4 transmits the facial image to be verified to the verification server 3, it also blurs the original facial image in the same manner as the original facial image. The image of the face to be verified is at least partially blurred. When the in-vehicle image capture device 4 sends the facial image to be verified to the verification server 3 (in step S27), it is to send the facial image to be verified after the paste to the verification server. Device 3. When the verification server 3 judges whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold (in step S28), it judges that the blurred facial image Whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold. Thereby, the situation that the unfuzzy facial image to be verified is stolen by hackers in the cloud can be avoided.

本發明身分驗證系統100的一第三實施例與第一實施例及第二實施例相近,其差異說明如下。在該第三實施例中,該身分驗證系統100還包含一能透過通訊網路與該驗證伺服器3通訊的使用端電子裝置(圖未示,例如智慧型手機、平板電腦、膝上型電腦或桌上型電腦)。該使用端電子裝置儲存有該原始臉部影像,且由該使用端電子裝置將該原始臉部影像至少局部模糊化以產生該模糊化臉部影像,且由該使用端電子裝置將包含該模糊化臉部影像、該註冊車牌號碼、該支付資料及該安全層級設定資料的該註冊資料傳送給該身分驗證系統100。也就是說,該驗證伺服器3自始至終不儲存該原始臉部影像,僅儲存由該使用端電子裝置產生的該模糊化臉部影像,從而更能降低該原始臉部影像被駭客竊取的風險。 A third embodiment of the identity verification system 100 of the present invention is similar to the first embodiment and the second embodiment, and the differences are described as follows. In the third embodiment, the identity verification system 100 also includes a user terminal electronic device (not shown in the figure, such as a smart phone, a tablet computer, a laptop computer or desktop computer). The user-end electronic device stores the original facial image, and the user-end electronic device at least partially blurs the original facial image to generate the blurred facial image, and the user-end electronic device includes the blur The registered data including the personalized facial image, the registered license plate number, the payment data and the security level setting data are transmitted to the identity verification system 100 . That is to say, the verification server 3 does not store the original facial image from the beginning to the end, but only stores the blurred facial image generated by the user-end electronic device, thereby further reducing the risk of the original facial image being stolen by hackers .

綜上所述,本發明身分驗證系統100藉由該驗證伺服器3將該原始臉部影像至少局部模糊化以產生該模糊化臉部影像,並刪除該原始臉部影像,可以避免駭客侵入系統時獲得該原始臉部影 像,從而提高系統安全性,再者,藉由刪除該待驗證臉部影像,同樣可以避免駭客侵入系統時獲得該待驗證臉部影像,此外,藉由該驗證伺服器3產生該驗證成功結果後根據該註冊資料的該支付資料及該消費金額執行該支付程序,可以讓駕駛人不需下車、不需拿取現金、信用卡或手機就能完成支付,從而增加支付的便利性,故確實能達成本發明的目的。 In summary, the identity verification system 100 of the present invention uses the verification server 3 to at least partially blur the original facial image to generate the blurred facial image, and delete the original facial image, which can prevent hackers from intruding. The original face shadow is obtained when the system image, thereby improving system security, moreover, by deleting the facial image to be verified, it can also prevent hackers from obtaining the facial image to be verified when invading the system, and in addition, the verification is successful through the verification server 3 After the result, the payment program is executed according to the payment information of the registration information and the consumption amount, which can allow the driver to complete the payment without getting out of the car, without taking cash, credit card or mobile phone, thereby increasing the convenience of payment, so it is true Can reach the purpose of the present invention.

惟以上所述者,僅為本發明的實施例而已,當不能以此限定本發明實施的範圍,凡是依本發明申請專利範圍及專利說明書內容所作的簡單的等效變化與修飾,皆仍屬本發明專利涵蓋的範圍內。 But the above-mentioned ones are only embodiments of the present invention, and should not limit the scope of the present invention. All simple equivalent changes and modifications made according to the patent scope of the present invention and the content of the patent specification are still within the scope of the present invention. Within the scope covered by the patent of the present invention.

S11~S18:步驟 S11~S18: steps

Claims (15)

一種身分驗證方法,藉由一處理單元執行,該方法包含: 接收一註冊資料,該註冊資料包含一註冊車牌號碼及一原始臉部影像; 將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料; 接收一待驗證車牌影像及一待驗證臉部影像; 辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符; 判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值;及 當判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,產生一驗證成功結果。 An identity verification method, performed by a processing unit, the method includes: receiving a registration data, the registration data includes a registration license plate number and an original facial image; at least partially blurring the original facial image to generate a blurred facial image, deleting the original facial image, and adding the blurred facial image to the registration data; Receive a license plate image to be verified and a face image to be verified; Identify the license plate image to be verified to generate a license plate number to be verified, and determine whether the license plate number to be verified matches the registered license plate number in the registration data; judging whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold; and When it is determined that the license plate number to be verified matches the registered license plate number of the registration data, and the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, a Validate successful results. 如請求項1所述的身分驗證方法,其中,接收的該註冊資料還包含一支付資料,除了接收該待驗證車牌影像及該待驗證臉部影像外還接收一消費金額,該方法還包含: 產生該驗證成功結果後,根據該註冊資料的該支付資料及該消費金額執行一支付程序。 The identity verification method as described in Claim 1, wherein the received registration information also includes a payment information, in addition to receiving the license plate image to be verified and the face image to be verified, a consumption amount is also received, and the method also includes: After the successful verification result is generated, a payment procedure is executed according to the payment information of the registration information and the consumption amount. 如請求項1所述的身分驗證方法,還包含: 在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之後,將該待驗證臉部影像刪除。 The identity verification method as described in Claim 1, further comprising: After judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, the facial image to be verified is deleted. 如請求項1所述的身分驗證方法,其中,接收的該註冊資料還包含一安全層級設定資料,於判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之前自多個分別對應於多個安全層級資料的相似度門檻值選出對應之該安全層級資料與該安全層級設定資料相符者當作該預定相似度門檻值。The identity verification method as described in Claim 1, wherein the received registration data also includes a security level setting data, and is used to determine whether the similarity between the facial image to be verified and the blurred facial image of the registration data is reached Before the predetermined similarity threshold value, the one whose corresponding security level data is consistent with the security level setting data is selected from a plurality of similarity threshold values respectively corresponding to a plurality of security level data as the predetermined similarity threshold value. 如請求項1所述的身分驗證方法,在接收該待驗證臉部影像之後且在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之前,還包含: 以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化; 其中,在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值的步驟中,是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。 The identity verification method as described in Claim 1, after receiving the facial image to be verified and judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold Before the value, also include: at least partially blurring the image of the face to be verified in the same manner as blurring the original image of the face; Wherein, in the step of judging whether the similarity between the facial image to be verified and the blurred facial image of the registration data reaches the predetermined similarity threshold, it is judged that the facial image to be verified after blurring and the Whether the similarity of the blurred facial image of the registered data reaches the predetermined similarity threshold. 一種身分驗證系統,包含: 一影像拍攝裝置; 一終端電腦裝置;及 一驗證伺服器,儲存有一註冊資料,該註冊資料包含一註冊車牌號碼及一原始臉部影像; 該驗證伺服器將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料; 該影像拍攝裝置拍攝一車輛的一車牌以產生一待驗證車牌影像,並拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證車牌影像及該待驗證臉部影像傳送給該終端電腦裝置; 該終端電腦裝置將該待驗證車牌影像及該待驗證臉部影像傳送給該驗證伺服器; 該驗證伺服器辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符; 該驗證伺服器判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值; 當該驗證伺服器判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,該驗證伺服器產生一驗證成功結果。 An identity verification system comprising: an image capture device; a terminal computer device; and A verification server, storing a registration data, the registration data includes a registered license plate number and an original facial image; The verification server at least partially blurs the original facial image to generate a blurred facial image, deletes the original facial image, and adds the blurred facial image to the registration data; The image capturing device photographs a license plate of a vehicle to generate a license plate image to be verified, and photographs a driver of the vehicle to generate a facial image to be verified, and transmits the license plate image to be verified and the facial image to be verified to the terminal computer device; The terminal computer device transmits the license plate image to be verified and the face image to be verified to the verification server; The verification server identifies the license plate image to be verified to generate a license plate number to be verified, and determines whether the license plate number to be verified matches the registered license plate number in the registration data; The verification server judges whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold; When the verification server determines that the license plate number to be verified matches the registered license plate number in the registration data, and the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold value, the authentication server generates a successful authentication result. 如請求項6所述的身分驗證系統,其中,該註冊資料還包含一支付資料,該終端電腦裝置除了將該待驗證車牌影像及該待驗證臉部影像傳送給該驗證伺服器之外,還將一消費金額傳送給該驗證伺服器; 該驗證伺服器產生該驗證成功結果後,根據該註冊資料的該支付資料及該消費金額執行一支付程序。 The identity verification system as described in claim 6, wherein the registration data also includes a payment data, and the terminal computer device not only transmits the license plate image to be verified and the face image to be verified to the verification server, but also Send a consumption amount to the verification server; After the verification server generates the successful verification result, it executes a payment procedure according to the payment information of the registration information and the consumption amount. 如請求項6所述的身分驗證系統,其中,該驗證伺服器在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之後,將該待驗證臉部影像刪除。The identity verification system as described in Claim 6, wherein, after the verification server determines whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold, The image of the face to be verified is deleted. 如請求項6所述的身分驗證系統,其中,該驗證伺服器儲存有多個安全層級資料及多個分別對應於該等安全層級資料的相似度門檻值,該註冊資料還包含一安全層級設定資料,該驗證伺服器自該等相似度門檻值選出對應之該安全層級資料與該安全層級設定資料相符者當作該預定相似度門檻值。The identity verification system as described in Claim 6, wherein, the verification server stores a plurality of security level data and a plurality of similarity thresholds respectively corresponding to the security level data, and the registration data also includes a security level setting data, the verification server selects from the similarity thresholds the corresponding security level data that matches the security level setting data as the predetermined similarity threshold. 如請求項6所述的身分驗證系統,其中,該終端電腦裝置將該待驗證臉部影像傳送給該驗證伺服器之前,還以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化; 其中,該終端電腦裝置將該待驗證臉部影像傳送給該驗證伺服器時,是將糊化後的該待驗證臉部影像傳送給該驗證伺服器; 其中,該驗證伺服器在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值時,是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。 The identity verification system as described in Claim 6, wherein, before the terminal computer device transmits the face image to be verified to the verification server, the face image to be verified is also blurred in the same manner as the original face image Part of the image is at least partially blurred; Wherein, when the terminal computer device transmits the facial image to be verified to the verification server, it transmits the fuzzed facial image to be verified to the verification server; Wherein, when the verification server judges whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold, it judges that the facial image to be verified after blurring Whether the similarity with the blurred facial image of the registration data reaches the predetermined similarity threshold. 一種身分驗證系統,包含: 一影像拍攝裝置; 一終端電腦裝置; 一車內影像拍攝裝置,適於設置於一車輛內,且儲存有一裝置識別資料;及 一驗證伺服器,儲存有一註冊資料,該註冊資料包含一註冊車牌號碼、一原始臉部影像及該裝置識別資料; 該驗證伺服器將該原始臉部影像至少局部模糊化以產生一模糊化臉部影像,並刪除該原始臉部影像,並將該模糊化臉部影像加入該註冊資料; 該影像拍攝裝置拍攝該車輛的一車牌以產生一待驗證車牌影像,並將該待驗證車牌影像傳送給該終端電腦裝置; 該終端電腦裝置將該待驗證車牌影像傳送給該驗證伺服器; 該驗證伺服器辨識該待驗證車牌影像以產生一待驗證車牌號碼,並判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼是否相符; 當該驗證伺服器判斷該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,該驗證伺服器根據該註冊資料的該裝置識別資料傳送一駕駛影像請求給該車內影像拍攝裝置; 當該車內影像拍攝裝置接收到該駕駛影像請求,該車內影像拍攝裝置拍攝該車輛的一駕駛人以產生一待驗證臉部影像,並將該待驗證臉部影像及該裝置識別資料傳送給該驗證伺服器; 該驗證伺服器判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達一預定相似度門檻值; 當該驗證伺服器判斷出該待驗證車牌號碼與該註冊資料的該註冊車牌號碼相符,且該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度到達該預定相似度門檻值,該驗證伺服器產生一驗證成功結果。 An identity verification system comprising: an image capture device; a terminal computer device; An in-vehicle image capture device, suitable for being installed in a vehicle, and storing a device identification data; and A verification server, storing a registration data, the registration data includes a registration license plate number, an original facial image and the device identification data; The verification server at least partially blurs the original facial image to generate a blurred facial image, deletes the original facial image, and adds the blurred facial image to the registration data; The image capture device captures a license plate of the vehicle to generate a license plate image to be verified, and transmits the license plate image to be verified to the terminal computer device; The terminal computer device transmits the license plate image to be verified to the verification server; The verification server identifies the license plate image to be verified to generate a license plate number to be verified, and determines whether the license plate number to be verified matches the registered license plate number in the registration data; When the verification server determines that the license plate number to be verified matches the registered license plate number in the registration data, the verification server sends a driving image request to the in-vehicle image capture device according to the device identification data in the registration data; When the in-vehicle image capture device receives the driving image request, the in-vehicle image capture device captures a driver of the vehicle to generate a facial image to be verified, and transmits the facial image to be verified and the device identification data to the authentication server; The verification server judges whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches a predetermined similarity threshold; When the verification server determines that the license plate number to be verified matches the registered license plate number in the registration data, and the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold value, the authentication server generates a successful authentication result. 如請求項11所述的身分驗證系統,其中,該註冊資料還包含一支付資料,該終端電腦裝置除了將該待驗證車牌影像傳送給該驗證伺服器之外,還將一消費金額傳送給該驗證伺服器; 該驗證伺服器產生該驗證成功結果後,根據該註冊資料的該支付資料及該消費金額執行一支付程序。 The identity verification system as described in claim 11, wherein the registration information also includes payment information, and the terminal computer device not only transmits the license plate image to be verified to the verification server, but also transmits a consumption amount to the verification server. authentication server; After the verification server generates the successful verification result, it executes a payment procedure according to the payment information of the registration information and the consumption amount. 如請求項11所述的身分驗證系統,其中,該驗證伺服器在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值之後,將該待驗證臉部影像刪除。The identity verification system as described in claim 11, wherein the verification server will The image of the face to be verified is deleted. 如請求項11所述的身分驗證系統,其中,該驗證伺服器儲存有多個安全層級資料及多個分別對應於該等安全層級資料的相似度門檻值,該註冊資料還包含一安全層級設定資料,該驗證伺服器自該等相似度門檻值選出對應之該安全層級資料與該安全層級設定資料相符者當作該預定相似度門檻值。The identity verification system as described in claim 11, wherein the verification server stores a plurality of security level data and a plurality of similarity thresholds respectively corresponding to the security level data, and the registration data also includes a security level setting data, the verification server selects from the similarity thresholds the corresponding security level data that matches the security level setting data as the predetermined similarity threshold. 如請求項11所述的身分驗證系統,其中,該車內影像拍攝裝置將該待驗證臉部影像傳送給該驗證伺服器之前,還以與模糊化該原始臉部影像相同的方式將該待驗證臉部影像至少局部模糊化; 其中,該車內影像拍攝裝置將該待驗證臉部影像傳送給該驗證伺服器時,是將糊化後的該待驗證臉部影像傳送給該驗證伺服器; 其中,該驗證伺服器在判斷該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值時,是判斷模糊化後的該待驗證臉部影像與該註冊資料的該模糊化臉部影像的相似度是否到達該預定相似度門檻值。 The identity verification system according to claim 11, wherein, before the in-vehicle image capturing device transmits the face image to be verified to the verification server, the face image to be verified is also blurred in the same manner as the original face image. verifying that the face image is at least partially blurred; Wherein, when the in-vehicle image capture device transmits the facial image to be verified to the verification server, it transmits the fuzzy facial image to be verified to the verification server; Wherein, when the verification server judges whether the similarity between the facial image to be verified and the blurred facial image in the registration data reaches the predetermined similarity threshold, it judges that the facial image to be verified after blurring Whether the similarity with the blurred facial image of the registration data reaches the predetermined similarity threshold.
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