TWI687872B - Transaction system based on face recognitioin for verification and method thereof - Google Patents

Transaction system based on face recognitioin for verification and method thereof Download PDF

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TWI687872B
TWI687872B TW108113446A TW108113446A TWI687872B TW I687872 B TWI687872 B TW I687872B TW 108113446 A TW108113446 A TW 108113446A TW 108113446 A TW108113446 A TW 108113446A TW I687872 B TWI687872 B TW I687872B
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module
image
verified
verification
account
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TW108113446A
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TW201942803A (en
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許淑惠
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華南商業銀行股份有限公司
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A transaction system with an automated teller machine (ATM) and a verification server. A camera module of the ATM is configured to get a to-be-verified image of a user’s face and comprises a infrared temperature sensing component to obtain the user’s body temperature. A card-reader module and an input module of the ATM is configured to receive a debit card inserted by the user and a transaction item inputted by the user. A control module of the ATM is configured to instruct a communication module to send the to-be-verified image, the body temperature information, and the transaction item. The verification server communicatively connects with the the ATM. The verification server comprises an account database, which comprises a plurality of account datum with each account data comprising a reference image, and a computing module configured to compare the to-be-verified image and the reference image, determine a variation degree of the body temperature, and generate a continuation signal according to a comparing result and a determination result. A transaction module of the ATM executes a transaction operation according to the continuation signal and the transaction item.

Description

基於臉部辨識進行驗證的交易系統及其方法Trading system and method for verification based on face recognition

本發明係關於一種交易系統及其方法,特別是一種基於臉部特徵及表情識別進行驗證的交易系統及其方法。The invention relates to a transaction system and method, in particular to a transaction system and method for verification based on facial features and facial expression recognition.

現今社會詐騙案件頻傳,透過人頭帳戶洗錢事件亦時有所聞;前者係詐騙集團在取得受害人信任之後,騙取受害人的金融卡以及提款密碼,再由車手攜帶卡片至自動櫃員機提領現鈔;後者係詐騙集團巧立名目騙取一般民眾的帳戶號碼、金融卡以及帳戶密碼,然後騙被害人將錢匯入這些人頭帳戶,再派遣車手至自動櫃員機將人頭帳戶的款項提領一空。Today's social fraud cases are frequent, and money laundering through head account is also heard from time to time; the former is the fraud group after obtaining the victim's trust, defrauding the victim's financial card and withdrawal password, and then the driver carries the card to the ATM to withdraw Cash; the latter is a fraud group that cleverly deceived the account numbers, financial cards and account passwords of ordinary people, and then tricked the victims into remitting money to these head accounts, and then sent drivers to the ATM to withdraw the funds from the head account.

觀察上述類型的盜領案件,其相同之處在於操作自動櫃員機提領現鈔的人員並非帳戶本人。由於傳統自動櫃員機的提款程序中,僅依賴金融卡片以及提款密碼作為帳戶安全驗證的依據。因此,一旦卡片遺失且及密碼外洩,存款被盜領的風險將大為提高。另外,即便是帳戶本人親自提領,亦無法排除其為受到歹徒威脅而被迫至自動櫃員機領錢的狀況,然而,目前的自動櫃員機尚未具備任何機制可即時地防堵盜領事件發生。Observing the aforementioned types of theft cases, the same thing is that the person who operates the ATM to withdraw cash is not the account person. Because the withdrawal process of traditional ATMs only relies on financial cards and withdrawal passwords as the basis for account security verification. Therefore, once the card is lost and the password is leaked, the risk of the deposit being stolen will be greatly increased. In addition, even if the account is withdrawn in person, it cannot be ruled out that it is forced to collect money from the ATM because of the threat of gangsters. However, the current ATM has not yet had any mechanism to prevent the theft of the incident.

有鑑於此,本發明揭露一種以臉部辨識進行認證的交易系統及其方法,藉此降低自動櫃員機被他人冒領或本人在非自願情況下被迫提領的潛在可能性。In view of this, the present invention discloses a transaction system and method for authentication by face recognition, thereby reducing the potential of the ATM being impersonated by others or being forced to withdraw involuntarily.

依據本發明一實施例所敘述的一種基於臉部辨識進行驗證的交易系統,包括: 一自動櫃員機,包括:一攝像模組,包括一紅外線溫度感測元件,該攝像模組用以取得一待驗證影像,該紅外線溫度感測元件用以取得該使用者之一體溫;該待驗證影像包括一使用者之一臉部及該體溫之資訊;一讀卡模組用以供置入一金融卡、取得該金融卡之一帳號、發送一驗證請求及接收該金融卡所發送之一驗證回覆;一輸入模組用以供輸入一卡片密碼及一交易內容;一控制模組電性連接至該攝像模組、該讀卡模組及該輸入模組,該控制模組用以接收該待驗證影像及該帳號,根據該卡片密碼產生該驗證請求,根據該驗證回覆選擇性地產生一提示訊息及選擇性地指示該攝像模組取得該待驗證影像,且該提示訊息用以提示該使用者輸入該交易內容,該控制模組更用以由該輸入模組接收該交易內容;一顯示模組,電性連接至該控制模組,該顯示模組用以即時呈現該攝像模組所拍攝之該待驗證影像;一通訊模組,電性連接至該控制模組,並用以根據該控制模組之指示發送該帳號、該待驗證影像及該交易內容;及一交易模組,電性連接至該控制模組,並用以根據一可續行訊號執行一交易操作;以及一驗證伺服器,通訊連接至該自動櫃員機之該通訊模組,包括:一帳戶資料庫,包括複數個帳戶資訊,每一該帳戶資訊至少包括一帳戶號碼、一第一參考影像及一第二參考影像,其中該第二參考影像對應於一預設交易項目;一表情辨識模組,電性連接至該帳戶資料庫,該表情辨識模組用以分析該待驗證影像中該臉部之一表情,且該表情辨識模組具有類神經網路之一訓練集;一運算模組,電性連接該帳戶資料庫及該表情辨識模組,該運算模組用以查找該帳戶資料庫中與該帳戶號碼相同之一目標帳戶資訊,比對該待驗證影像及該目標帳戶資訊之該第一參考影像,根據該表情比對該驗證影像及該目標帳戶資訊之該第二參考影像,及判斷該體溫之變化幅度是否超過一合理溫差範圍,並根據一比對結果選擇性地產生該可續行訊號,其中該可續行訊號關聯於該預設交易項目,該運算模組更用以儲存該待驗證影像及該比對結果至所對應之該目標帳戶資訊及該訓練集;及一警示模組,電性連接至該運算模組,該警示模組用以根據該比對結果選擇性地發送一警示訊號。A transaction system based on face recognition for verification according to an embodiment of the present invention includes: an ATM, including: a camera module including an infrared temperature sensing element, the camera module is used to obtain a waiting Verification image, the infrared temperature sensing element is used to obtain a body temperature of the user; the image to be verified includes information on a user's face and the body temperature; a card reading module is used to place a financial card 1. Acquire an account number of the financial card, send a verification request and receive a verification reply sent by the financial card; an input module is used to input a card password and a transaction content; a control module is electrically connected to the The camera module, the card reading module and the input module, the control module is used to receive the to-be-verified image and the account number, generate the verification request according to the card password, and selectively generate a prompt message according to the verification reply And selectively instruct the camera module to obtain the to-be-verified image, and the prompt message is used to prompt the user to input the transaction content, and the control module is further used by the input module to receive the transaction content; a display mode Group, electrically connected to the control module, the display module is used to present the to-be-verified image taken by the camera module in real time; a communication module is electrically connected to the control module and used to control The instruction of the module sends the account number, the image to be verified and the transaction content; and a transaction module, which is electrically connected to the control module, and is used to perform a transaction operation according to a renewable signal; and a verification server , The communication module connected to the ATM, including: an account database, including a plurality of account information, each of the account information at least includes an account number, a first reference image and a second reference image, wherein The second reference image corresponds to a preset transaction item; an expression recognition module electrically connected to the account database, the expression recognition module is used to analyze an expression of the face in the image to be verified, and the The expression recognition module has one training set of neural network-like; an operation module, which is electrically connected to the account database and the expression recognition module, and the operation module is used to find that the account database is the same as the account number A target account information, compare the first reference image of the image to be verified and the target account information, compare the second reference image of the verification image and the target account information according to the expression, and determine the change of the body temperature Whether the amplitude exceeds a reasonable temperature difference range, and the renewable signal is selectively generated according to a comparison result, wherein the renewable signal is associated with the default transaction item, and the arithmetic module is further used to store the image to be verified And the comparison result to the corresponding target account information and the training set; and a warning module, which is electrically connected to the calculation module, and the warning module is used to selectively send a warning according to the comparison result Signal.

依據本發明一實施例所敘述的一種基於臉部特徵進行驗證的交易方法,包括: 以一自動櫃員機的一讀卡模組接收一金融卡;在該讀卡模組取得該金融卡後,以該自動櫃員機之一攝像模組取得包括一使用者之一臉部的一待驗證影像,並以該自動櫃員機之一攝像模組之一紅外線溫度感測元件取得該使用者之一體溫;以該控制模組接收包括該體溫之資訊之該待驗證影像並指示該自動櫃員機之一通訊模組發送該待驗證影像至一驗證伺服器;在該讀卡模組取得該金融卡後,以該自動櫃員機的一輸入模組接收一卡片密碼;以該自動櫃員機之一控制模組根據該卡片密碼產生一驗證請求並透過該讀卡模組發送該驗證請求至該金融卡;以該讀卡模組接收該金融卡之一驗證回覆並發送該驗證回覆至該控制模組;以該控制模組基於該驗證回覆選擇性地產生一提示訊息及選擇性地指示該攝像模組取得該待驗證影像,該提示訊息用以提示該使用者輸入該交易內容;以一顯示模組即時呈現該攝像模組所拍攝之該待驗證影像;以該控制模組接收該交易內容並指示該通訊模組發送該交易內容至該驗證伺服器;以該驗證伺服器之一運算模組根據該待驗證影像比對一帳戶資料庫,其中該帳戶資料庫包括複數個帳戶資訊且每一該帳戶資訊至少包括一第一參考影像及一第二參考影像;以該驗證伺服器之一表情辨識模組分析該待驗證影像中該臉部之一表情;以該運算模組根據該表情比對該待驗證影像與該帳戶資料庫中該些第二參考影像其中至少一;當該待驗證影像對應至該些帳戶資訊其中之一時,以該運算模組儲存該待驗證影像及該比對結果至所對應之該帳戶資訊;以該運算模組判斷該體溫之變化幅度是否超過一合理溫差範圍並據以產生一判斷結果;以該運算模組根據該判斷結果、該待驗證影像與該些第一參考影像其中至少一之該比對結果及該驗證影像與該些第二參考影像其中至少一之另一比對結果並選擇性地產生一可續行訊號;在該運算模組選擇不產生該可續行訊號時,以該驗證伺服器之一警示模組發送一警示訊號;在該運算模組選擇產生該可續行訊號時,以該驗證伺服器發送該可續行訊號至該自動櫃員機;以及以該自動櫃員機之一交易模組根據該可續行訊號及該交易內容執行一交易操作。A transaction method based on facial features for verification according to an embodiment of the present invention includes: receiving a financial card with a card reading module of an ATM; after obtaining the financial card by the card reading module, A camera module of the ATM obtains a to-be-verified image including a face of a user, and uses an infrared temperature sensing element of a camera module of the ATM to obtain a body temperature of the user; The control module receives the image to be verified including the body temperature information and instructs a communication module of the ATM to send the image to be verified to a verification server; after the card reader module obtains the financial card, the automatic An input module of the teller machine receives a card password; a control module of the automatic teller machine generates a verification request according to the card password and sends the verification request to the financial card through the card reading module; using the card reading module Receiving a verification reply of the financial card and sending the verification reply to the control module; the control module selectively generates a prompt message based on the verification reply and selectively instructs the camera module to obtain the image to be verified, The prompt message is used to prompt the user to input the transaction content; a display module presents the to-be-verified image captured by the camera module in real time; the control module receives the transaction content and instructs the communication module to send the transaction content The transaction content is sent to the verification server; an operation database of the verification server is used to compare an account database according to the image to be verified, wherein the account database includes a plurality of account information and each of the account information includes at least a first A reference image and a second reference image; an expression recognition module of the verification server analyzes an expression of the face in the image to be verified; the calculation module compares the image to be verified with the expression according to the expression ratio At least one of the second reference images in the account database; when the image to be verified corresponds to one of the account information, the arithmetic module is used to store the image to be verified and the comparison result to the corresponding account Information; use the arithmetic module to determine whether the variation of the body temperature exceeds a reasonable temperature difference range and accordingly generate a judgment result; based on the judgment result, the arithmetic module and the first reference image One of the comparison result and the other comparison result of at least one of the verification image and the second reference images and selectively generates a sustainable signal; the arithmetic module chooses not to generate the sustainable signal When a warning signal is sent by a warning module of the verification server; when the computing module selects to generate the renewable signal, the verification server sends the renewable signal to the ATM; and A transaction module of the ATM performs a transaction operation based on the renewable signal and the transaction content.

藉由上述架構,本發明所揭露的以臉部辨識進行認證的交易系統及其方法,在原本以金融卡及密碼進行提領的基礎上,更增加了以操作自動櫃員機的使用者的臉部辨識作為驗證的機制,此外,可更加入表情辨識作為進一步的驗證方式,因此可有效降低非帳戶本人至自動櫃員機前冒領的風險,亦可以即時偵測到帳戶本人受脅迫而非自願提領的情況,提早避免帳戶本人的金錢損失。With the above-mentioned architecture, the transaction system and method for authentication based on face recognition disclosed in the present invention, on the basis of the original withdrawal with a financial card and a password, add the face of the user who operates the ATM Recognition is used as a verification mechanism. In addition, facial recognition can be added as a further verification method, so it can effectively reduce the risk of non-account identity to the ATM, and it can also immediately detect that the account is under duress and not voluntary withdrawal. Situation, avoid early loss of money in the account itself.

以上之關於本揭露內容之說明及以下之實施方式之說明係用以示範與解釋本發明之精神與原理,並且提供本發明之專利申請範圍更進一步之解釋。The above description of the disclosure and the following description of the embodiments are used to demonstrate and explain the spirit and principle of the present invention, and provide a further explanation of the scope of the patent application of the present invention.

以下在實施方式中詳細敘述本發明之詳細特徵以及優點,其內容足以使任何熟習相關技藝者了解本發明之技術內容並據以實施,且根據本說明書所揭露之內容、申請專利範圍及圖式,任何熟習相關技藝者可輕易地理解本發明相關之目的及優點。以下之實施例係進一步詳細說明本發明之觀點,但非以任何觀點限制本發明之範疇。The following describes in detail the detailed features and advantages of the present invention in the embodiments. The content is sufficient for any person skilled in the relevant art to understand and implement the technical content of the present invention, and according to the contents disclosed in this specification, the scope of patent application and the drawings Anyone skilled in the relevant art can easily understand the purpose and advantages of the present invention. The following examples further illustrate the views of the present invention in detail, but do not limit the scope of the present invention in any way.

請參考圖1,其係繪示依據本發明一實施例所敘述的基於臉部辨識進行驗證的交易系統架構圖,此系統主要包括自動櫃員機1以及驗證伺服器5,自動櫃員機1通訊連接至驗證伺服器5,實務上,所述「通訊連接」係指通過有線或無線方式連接;有線通訊連接方式例如係透過電話線、通用序列匯流排(Universal Serial Bus,USB)、雙絞線、同軸電纜或光纖電纜等方式進行通訊連接;無線通訊連接方式例如係透過全球移動通訊系統(Global System for Mobile communications,GSM)、全球互通微波存取(Worldwide Interoperability for Microwave Access,WiMax)、分碼多重進接(Code Division Multiple Access,CDMA)、近場通訊(Near Field Communication,NFC)、藍牙或Wi-Fi等方式進行通訊連接。本發明對於通訊連線的種類不予限制。Please refer to FIG. 1, which is a diagram illustrating the architecture of a transaction system based on face recognition for verification according to an embodiment of the present invention. This system mainly includes an ATM 1 and a verification server 5. The ATM 1 is communicatively connected to the verification Server 5, in practice, the "communication connection" refers to the connection through wired or wireless means; the wired communication connection means, for example, through a telephone line, Universal Serial Bus (USB), twisted pair, coaxial cable Or optical fiber cable for communication connection; wireless communication connection methods are, for example, through Global System for Mobile Communications (GSM), Worldwide Interoperability for Microwave Access (WiMax), and code division multiple access (Code Division Multiple Access, CDMA), Near Field Communication (NFC), Bluetooth or Wi-Fi, etc. The invention does not limit the type of communication connection.

請參考圖1,自動櫃員機1包括攝像模組10、讀卡模組11、輸入模組12、控制模組13、通訊模組14以及交易模組15,其中,攝像模組10、讀卡模組11、輸入模組12、通訊模組14以及交易模組15皆電性連接至控制模組13,如圖1所示。Please refer to FIG. 1, the ATM 1 includes a camera module 10, a card reading module 11, an input module 12, a control module 13, a communication module 14 and a transaction module 15, wherein the camera module 10 and the card reading module The group 11, the input module 12, the communication module 14, and the transaction module 15 are all electrically connected to the control module 13, as shown in FIG.

攝像模組10用以取得一待驗證影像,實務上,攝像模組例如係包含感光耦合元件(Charge-Coupled Device,CCD)的攝影機或互補式金屬氧化物半導體(Complementary Metal-Oxide Semiconductor,CMOS)的攝影機。然而,本發明對攝像模組10的硬體裝置並不以此為限;另外,本發明亦不限制攝像模組10的數量。所述的待驗證影像必須包括一臉部影像,即操作自動櫃員機1的使用者臉部影像。一般而言,攝像模組10應設置於自動櫃員機1上使用者目視所及的位置。又,考量使用者身高不盡相同,固定高度的攝像模組10可能無法攝入身高遠高於或遠低於此固定高度的使用者臉部;因此,實務上可於自動櫃員機1上設置多個位於不同高度的攝像模組10或是在單一攝像模組10上增設廣角鏡頭或魚眼鏡頭,藉此增加攝像模組10的拍攝範圍。The camera module 10 is used to obtain an image to be verified. In practice, the camera module is, for example, a camera including a charge-coupled device (Charge-Coupled Device, CCD) or a complementary metal-oxide semiconductor (CMOS) Camera. However, the present invention is not limited to the hardware device of the camera module 10; in addition, the present invention does not limit the number of camera modules 10. The image to be verified must include a facial image, that is, a facial image of a user who operates the ATM 1. Generally speaking, the camera module 10 should be installed at a position on the ATM 1 that is visible to the user. In addition, considering that the heights of users are different, the fixed-height camera module 10 may not be able to take in the faces of users whose height is much higher or lower than this fixed height; therefore, in practice, many Each camera module 10 at a different height or a single camera module 10 is added with a wide-angle lens or a fisheye lens, thereby increasing the shooting range of the camera module 10.

讀卡模組11供操作自動櫃員機1的使用者置入一金融卡,在使用者置入金融卡之後,讀卡模組11更用以發送驗證請求至金融卡或接收金融卡所發送之驗證回覆。實務上,讀卡模組11例如係讀卡機或其他可讀取晶片金融卡或磁條金融卡的硬體裝置。The card reading module 11 is for the user who operates the ATM 1 to insert a financial card. After the user inserts the financial card, the card reading module 11 is further used to send a verification request to the financial card or receive the verification sent by the financial card Reply. In practice, the card reader module 11 is, for example, a card reader or other hardware device that can read chip financial cards or magnetic stripe financial cards.

輸入模組12用以供操作自動櫃員機1之使用者輸入卡片密碼及交易內容,實務上,輸入模組12例如係一實體鍵盤或透過螢幕顯示的虛擬鍵盤。所述的卡片密碼係指置入讀卡模組11的金融卡的提款密碼。所述的交易內容例如係存款金額、提款金額、轉帳之金額或轉帳之帳號等金融交易項目。The input module 12 is used for a user who operates the ATM 1 to input a card password and transaction content. In practice, the input module 12 is, for example, a physical keyboard or a virtual keyboard displayed on the screen. The card password refers to the withdrawal password of the financial card placed in the card reading module 11. The transaction content is, for example, a financial transaction item such as deposit amount, withdrawal amount, transfer amount, or transfer account number.

控制模組13用以接收攝像模組10拍攝到的待驗證影像;根據前述由使用者透過輸入模組12輸入的卡片密碼產生驗證請求,並將此驗證請求透過讀卡模組11發送至金融卡,同時從讀卡模組11接收金融卡發送之驗證回覆。若驗證回覆代表卡片密碼正確,則控制模組13產生提示訊息,此提示訊息用以提示使用者輸入交易內容,然後控制模組13接收使用者輸入完成的交易內容,控制模組13進一步指示通訊模組14發送交易內容。若驗證回覆代表卡片密碼錯誤,則控制模組13提示使用者重新輸入密碼或指示通訊模組發送一警示訊息。實務上,控制單元13例如係一般個人電腦之中央處理器(Central Processing Unit,CPU)、微處理器(Microprocessor)、數位信號處理器(Digital Signal Processor,DSP)、特殊應用積體電路(Application-Specific Integrated Circuit,ASIC)、其他類似元件或上述元件之組合,本發明並不限制控制單元13之硬體種類。The control module 13 is used to receive the to-be-verified image captured by the camera module 10; generate a verification request according to the card password input by the user through the input module 12 and send the verification request to the finance through the card reading module 11 At the same time, the verification reply sent by the financial card is received from the card reading module 11. If the verification reply indicates that the card password is correct, the control module 13 generates a prompt message to prompt the user to enter the transaction content, and then the control module 13 receives the transaction content input by the user, and the control module 13 further instructs the communication Module 14 sends the transaction content. If the verification reply indicates that the card password is incorrect, the control module 13 prompts the user to re-enter the password or instructs the communication module to send a warning message. In practice, the control unit 13 is, for example, a central processing unit (CPU), a microprocessor (Microprocessor), a digital signal processor (DSP), or a special application integrated circuit (Application- Specific Integrated Circuit (ASIC), other similar components or a combination of the above components, the invention does not limit the hardware type of the control unit 13.

通訊模組14例如係一網路通訊晶片,用以根據控制模組13之指示發送待驗證影像及交易內容。The communication module 14 is, for example, a network communication chip, which is used to send the image to be verified and the transaction content according to the instruction of the control module 13.

交易模組15用以根據控制模組13之指示執行一交易操作,所述的交易操作例如係依據交易內容中設定的提款金額提供相同數量的現鈔給使用者。而控制模組13指示的依據係驗證伺服器5所發送的可續行訊號以及交易內容,關於此可續行訊號將於後文敘述之。The transaction module 15 is used to perform a transaction operation according to the instructions of the control module 13. For example, the transaction operation provides the same amount of cash to the user according to the withdrawal amount set in the transaction content. The basis indicated by the control module 13 is the verification of the renewable signal and the transaction content sent by the server 5, and the renewable signal will be described later.

在本發明另一實施例中,自動櫃員機1更包括一顯示模組,顯示模組電性連接至控制模組13,並且用以即時呈現攝像模組10所拍攝之待驗證影像供使用者確認拍攝到的影像。此外,前文所述之「控制模組13產生提示訊息」及「控制模組13提示使用者重新輸入密碼」亦係透過顯示模組以文字或圖像方式呈現以供使用者檢視。實務上,顯示模組例如係:電漿顯示器(Plasma Display Panel)、液晶顯示器(Liquid-Crystal Display,LCD)、薄膜電晶體液晶顯示器(Thin Film Transistor Liquid Crystal Display,TFT-LCD)、發光二極體顯示器(Light-Emitting Diode Display,LED Display)有機發光二極體顯示器(Organic Light-Emitting Diode,OLED)或其他具有相近功能的顯示裝置。In another embodiment of the present invention, the ATM 1 further includes a display module, which is electrically connected to the control module 13 and used to present the image to be verified captured by the camera module 10 in real time for user confirmation The captured image. In addition, the "control module 13 generates a prompt message" and "the control module 13 prompts the user to re-enter the password" mentioned above are also presented in text or image form for display by the user through the display module. In practice, display modules such as: Plasma Display Panel, Liquid-Crystal Display (LCD), Thin Film Transistor Liquid Crystal Display (TFT-LCD), LED Light-Emitting Diode Display (LED Display) Organic Light-Emitting Diode (OLED) or other display devices with similar functions.

在本發明一實施例中,當讀卡模組11偵測到卡片被置入時,便可通知控制模組13致能攝像模組10進行拍攝,並且即時透過通訊模組14將拍攝好的待驗證影像發送至驗證伺服器5。在本發明另一實施例中,控制模組13在卡片密碼輸入正確後,才致能攝像模組10進行拍攝,並且在使用者輸入完交易內容後才將交易內容與待驗證影像一併發送至驗證伺服器5。然而,本發明對於控制模組13致能攝像模組10 進行拍攝的時機,與通訊模組14發送待驗證影像的時機並不以上述實施例為限,實務上,設置自動櫃員機1的金融機構可根據驗證伺服器5的執行效率與通訊連線的傳輸效率綜合考量以決定何時進行拍攝並傳送影像。In an embodiment of the present invention, when the card reading module 11 detects that the card is inserted, it can notify the control module 13 to enable the camera module 10 to take a picture, and the picture is taken through the communication module 14 in real time. The image to be verified is sent to the verification server 5. In another embodiment of the present invention, the control module 13 enables the camera module 10 to shoot after the card password is entered correctly, and sends the transaction content together with the image to be verified after the user inputs the transaction content To authentication server 5. However, the timing of the control module 13 enabling the camera module 10 to perform shooting in the present invention is not limited to the timing of sending the to-be-verified image with the communication module 14. In practice, the financial institution with the ATM 1 The execution efficiency of the verification server 5 and the transmission efficiency of the communication connection can be comprehensively considered to decide when to shoot and transmit images.

請參考圖1。驗證伺服器5通訊連接至自動櫃員機1的通訊模組14。在本發明一實施例中,驗證伺服器5包括帳戶資料庫50及運算模組51。實務上,驗證伺服器5例如係直立式伺服器(Pedestal server)、機架伺服器(Rack server)或刀鋒伺服器(Blade server),本發明對驗證伺服器5之硬體種類不予限制。Please refer to Figure 1. The verification server 5 is communicatively connected to the communication module 14 of the ATM 1. In an embodiment of the invention, the verification server 5 includes an account database 50 and a calculation module 51. In practice, the verification server 5 is, for example, a Pedestal server, a rack server, or a blade server. The present invention does not limit the types of hardware of the verification server 5.

帳戶資料庫50包括複數個帳戶資訊,每一帳戶資訊係代表一使用者的個人資料。個人資料例如係使用者開戶時授權提供給金融機構作為個人身分驗證的依據。具體而言,一帳戶資訊中至少包括一第一參考影像;此第一參考影像例如係使用者在開戶時被拍攝的臉部影像,或是使用者提供的證件照,例如身分證或駕照之臉部影像。The account database 50 includes a plurality of account information, and each account information represents a user's personal data. For example, personal data is authorized by a user to provide a financial institution as a basis for personal identity verification when opening an account. Specifically, an account information includes at least a first reference image; this first reference image is, for example, a face image taken by the user when opening an account, or a certificate photo provided by the user, such as an identity card or a driver’s license Face image.

運算模組51電性連接帳戶資料庫50,運算模組51用以比對待驗證影像與帳戶資料庫50中的第一參考影像是否相符。具體而言,運算模組51例如係微處理器、數位信號處理器、特殊應用積體電路、其他類似元件或上述元件之組合。關於運算模組51比對的方式,例如先以影像處理擷取待驗證影像的特徵點,並與儲存於帳戶資訊中第一參考影像的特徵點進行匹配,以判斷兩個影像之相似程度。The calculation module 51 is electrically connected to the account database 50, and the calculation module 51 is used to compare whether the verification image matches the first reference image in the account database 50. Specifically, the operation module 51 is, for example, a microprocessor, a digital signal processor, an integrated circuit for special applications, other similar components, or a combination of the foregoing components. Regarding the comparison method of the arithmetic module 51, for example, first, image processing is used to capture the feature points of the image to be verified, and match the feature points of the first reference image stored in the account information to determine the similarity of the two images.

於此必須特別說明的是:在一實施例中,待驗證影像係與帳戶資料庫中的所有第一參考影像進行比對。而在另一實施例中,讀卡模組11更包括預先取得金融卡之帳號,控制模組13接收此帳號並指示通訊模組14將此帳號與待驗證影像及交易內容一併發送至驗證伺服器5,而在帳戶資料庫中的每一帳戶資訊係以帳戶號碼作為資料庫的主鍵(Primary Key),因此可先以帳戶號碼比對卡片帳號而挑選出與卡片帳號相同的一目標帳戶資訊,再比對此帳戶資訊的第一參考影像與待驗證影像,如此可以加快待驗證影像的比對速度。It must be specifically explained here that in one embodiment, the image to be verified is compared with all the first reference images in the account database. In another embodiment, the card reading module 11 further includes an account for obtaining the financial card in advance, and the control module 13 receives the account and instructs the communication module 14 to send the account together with the image and transaction content to be verified to the verification Server 5, and each account information in the account database uses the account number as the primary key of the database (Primary Key), so you can first use the account number to compare the card account and select a target account that is the same as the card account Information, and then compare the first reference image with the account information and the image to be verified, so as to speed up the comparison speed of the image to be verified.

關於特徵點辨識部分,可採用整體特徵或局部特徵其中一種方式實現;前者係將整個臉部影像當作單一特徵進行比對,後者則係先找出臉部的局部特徵,例如眼睛、鼻子、嘴巴、嘴角或眼角等,然後分別針對這些局部特徵進行比對,最後將個別局部特徵比對的結果整合而得到最終辨識結果。若運算模組51在帳戶資料庫中找到與待驗證影像相似程度在一指定比率以上的第一參考影像,則代表操作自動櫃員機1的使用者確為帳戶本人。因此,運算模組51產生一可續行訊號並由驗證伺服器5發送此可續行訊號至自動櫃員機1。可續行訊號係代表使用者通過臉部辨識的驗證程序,因此自動櫃員機1收到此可續行訊號後便可指示交易模組15根據使用者設定的交易內容執行一交易操作。基於上述的臉部辨識機制,本發明一實施例所揭露的交易系統,相較於傳統僅以卡片密碼作為安全驗證的自動櫃員機交易系統,更能夠即時預防詐騙集團派遣車手冒領的情況發生。Regarding the feature point recognition part, it can be implemented in one of the whole feature or the local feature; the former is to compare the entire face image as a single feature, and the latter is to first find the local features of the face, such as eyes, nose, The mouth, the corner of the mouth, or the corner of the eye, etc., are then compared for these local features, and finally the results of the comparison of individual local features are integrated to obtain the final recognition result. If the computing module 51 finds a first reference image in the account database that is similar to the image to be verified by a specified ratio or more, it means that the user operating the ATM 1 is indeed the account himself. Therefore, the arithmetic module 51 generates a renewable signal and the verification server 5 sends the renewable signal to the ATM 1. The renewable signal represents the verification procedure of the user through facial recognition. Therefore, after receiving the renewable signal, the ATM 1 can instruct the transaction module 15 to perform a transaction operation according to the transaction content set by the user. Based on the face recognition mechanism described above, the transaction system disclosed in an embodiment of the present invention is more capable of preventing the fraudulent group from sending drivers to take the lead than the traditional ATM transaction system that only uses the card password as a security verification.

請參考圖1。在本發明另一實施例中,為了增進基於臉部辨識進行驗證的安全性,驗證伺服器5更包括表情辨識模組52電性連接至帳戶資料庫50及運算模組51,表情辨識模組52用以分析待驗證影像中的臉部表情,例如生氣、厭惡、害怕、高興、驚訝和傷心等基本表情,並提供辨識結果至運算模組51。實務上,為了避免每個人的表情變化元素不盡相同而導致表情辨識模組52錯誤地辨識待驗證影像的表情,在建立帳戶資料庫51的帳戶資訊時,除了儲存使用者臉部影像作為第一參考影像外,更包括儲存使用者自行決定的臉部表情作為第二參考影像。因此,在驗證伺服器5收到自動櫃員機1傳來的交易內容及待驗證影像時,除了透過運算模組51根據帳戶資料庫50中的第一參考影像比對待驗證影像是否確為帳戶本人之外,更包括透過表情辨識模組52分析待驗證影像的表情以及第二參考影像的表情,表情辨識模組52將分析結果傳送至運算模組51以比對待驗證影像與第二參考影像之間的相近程度。另外,表情辨識模組52更可包括一機器學習功能。實務上,當待驗證影像可對應至帳戶資訊其中之一時,運算模組51更包括儲存待驗證影像及比對結果至所對應之帳戶資訊。換言之,透過將每次使用者至自動櫃員機前進行交易操作時所留存的待驗證影像加入表情辨識模組的類神經網路的訓練集中,可提升表情辨識模組可辨識類型的豐富度與歸類待驗證影像至一表情分類的準確度。另一方面,本發明並未限制第二參考影像僅具有一組表情。使用者可根據其常用的交易項目設置多組對應的表情並儲存至第二參考影像;例如領取一萬元的表情係眨左眼,領取五千元的表情係挑右眉。一般而言,當使用者受脅迫或非自願至自動櫃員機提領時,使用者通常會呈現生氣、厭惡或害怕的表情,而本發明在上述實施例所揭露的表情辨識模組51以及預先留存第二參考影像的設計將可協助運算模組51偵測出使用者被脅迫提領的狀況,再執行對應此種狀況的應對措施。Please refer to Figure 1. In another embodiment of the present invention, in order to improve the security of verification based on face recognition, the verification server 5 further includes an expression recognition module 52 electrically connected to the account database 50 and the calculation module 51, and the expression recognition module 52 is used to analyze facial expressions in the image to be verified, such as basic expressions such as anger, disgust, fear, joy, surprise, and sadness, and provide recognition results to the computing module 51. In practice, in order to avoid that different expression change elements of each person cause the expression recognition module 52 to incorrectly recognize the expression of the image to be verified, when creating account information of the account database 51, in addition to storing the user’s facial image as the first In addition to a reference image, it also includes storing a facial expression determined by the user as a second reference image. Therefore, when the verification server 5 receives the transaction content and the to-be-verified image from the ATM 1, in addition to the first reference image in the account database 50 through the arithmetic module 51, the verification image is indeed the account’s own In addition, it also includes analyzing the expression of the image to be verified and the expression of the second reference image through the expression recognition module 52. The expression recognition module 52 sends the analysis result to the arithmetic module 51 to compare the verification image with the second reference image Similarity. In addition, the expression recognition module 52 may further include a machine learning function. In practice, when the image to be verified can correspond to one of the account information, the computing module 51 further includes storing the image to be verified and the comparison result to the corresponding account information. In other words, by adding the to-be-verified image that is retained each time the user performs a transaction operation to the ATM to add to the neural network-like training set of the expression recognition module, the richness and classification of the recognizable types of the expression recognition module can be improved The accuracy of classifying the image to be verified to an expression. On the other hand, the present invention does not limit the second reference image to have only one set of expressions. Users can set up multiple sets of corresponding expressions according to their commonly used transaction items and store them in the second reference image; for example, an expression of 10,000 yuan wins the left eye, an expression of 5,000 yuan wins the right eyebrow. Generally speaking, when the user is coerced or involuntarily picked up by the ATM, the user usually presents an angry, disgusted or scared expression, and the expression recognition module 51 disclosed in the above embodiment of the present invention and the pre-reserved The design of the second reference image will assist the computing module 51 to detect the situation where the user is being forced to withdraw, and then execute countermeasures corresponding to this situation.

在本發明又一實施例中,攝像模組10更包括紅外線溫度感測元件,例如紅外線熱顯像儀,用以取得使用者在操作自動櫃員機1時的體溫,同時通訊模組14所發送之待驗證影像中更包括此溫度資訊。驗證伺服器5的運算模組51在接收到此溫度資訊後,判斷其變化幅度是否超過一合理溫差範圍。一般而言,人類處於精神緊張或情緒激動時,體溫會不由自主地升高。因此,若運算模組51從溫度資訊中發現此現象,則將提高其本身對於待驗證影像與第一參考影像的相似度判斷標準,同時亦提高表情辨識模組52對於待驗證影像與第二參考影像的相似度判斷標準值。藉由上述機制,可以有效偵測出歹徒透過面具或易容方式偽裝原帳戶使用者進行盜領的情況,亦可以偵測出歹徒因違法行為的緊張感造成體溫異常變化,因此進一步提升本發明所敘述的基於臉部辨識進行驗證的交易系統的安全性。In yet another embodiment of the present invention, the camera module 10 further includes an infrared temperature sensing element, such as an infrared thermal imager, to obtain the body temperature of the user when operating the ATM 1, and the communication module 14 sends The temperature information is also included in the image to be verified. After receiving the temperature information, the arithmetic module 51 of the verification server 5 determines whether the variation range exceeds a reasonable temperature difference range. Generally speaking, when human beings are in nervous or emotional state, their body temperature will rise involuntarily. Therefore, if the computing module 51 finds this phenomenon from the temperature information, it will increase its own criterion for determining the similarity between the image to be verified and the first reference image, and also increase the expression recognition module 52 to the image to be verified and the second The standard value is judged with reference to the similarity of the images. Through the above mechanism, it is possible to effectively detect the gangster disguising the original account user by masking or disguising the original account, and also to detect the gangster’s abnormal change in body temperature due to the tension of the illegal act, thus further improving the present invention The security of the transaction system described based on face recognition for verification.

在本發明再一實施例中,驗證伺服器5更包括警示模組電性連接至運算模組51。警示模組用以根據運算模組51的比對結果選擇性地發送一警示訊號,所述的警示訊號例如係撥打電話聯絡警調單位,或是發送簡訊至此帳戶所設定的緊急聯絡人。In still another embodiment of the present invention, the verification server 5 further includes an alarm module electrically connected to the calculation module 51. The warning module is used to selectively send a warning signal according to the comparison result of the computing module 51. The warning signal is, for example, dialing a phone to contact the police unit or sending a short message to the emergency contact person set in this account.

請參考圖2,下文係配合使用者操作本發明一實施例所揭露的基於臉部辨識進行驗證的交易系統中的自動櫃員機1的流程說明本發明一實施例所揭露的一種基於臉部辨識進行驗證的交易方法。Please refer to FIG. 2, the following is a flow chart of the automatic teller machine 1 in a transaction system disclosed in an embodiment of the present invention for verifying based on face recognition according to a user’s operation. Verified transaction method.

請參考步驟S0:置入金融卡;具體而言係使用者將金融卡置入至自動櫃員機1的一讀卡模組11。Please refer to step S0: Insert a financial card; specifically, the user inserts the financial card into the first card reading module 11 of the ATM 1.

請參考步驟S1:拍攝使用者臉部的待驗證影像;詳言之,在金融卡置入讀卡模組11後,自動櫃員機1的控制模組13隨即致能攝像模組10以取得待驗證影像,且待驗證影像包括使用者之臉部。Please refer to step S1: shooting the image of the user's face to be verified; in detail, after the financial card is inserted into the card reading module 11, the control module 13 of the ATM 1 then enables the camera module 10 to obtain the pending verification Image, and the image to be verified includes the user's face.

請參考步驟S2:輸入密碼;其係在金融卡置入讀卡模組11後,使用者透過自動櫃員機之輸入模組11輸入金融卡的密碼。Please refer to step S2: input the password; after the financial card is inserted into the card reading module 11, the user inputs the password of the financial card through the input module 11 of the ATM.

請參考步驟S3:通過密碼驗證;詳言之,在步驟S2使用者輸入密碼後,自動櫃員機1之控制模組13根據此密碼產生一驗證請求並透過讀卡模組11發送此驗證請求至金融卡,金融卡將根據此驗證請求產生一驗證回覆,讀卡模組11可接收此驗證回覆並將其傳送至控制模組13以判斷所輸入的密碼是否正確。Please refer to step S3: verification by password; in detail, after the user enters the password in step S2, the control module 13 of the ATM 1 generates a verification request based on the password and sends the verification request to the finance through the card reader module 11 The card and financial card will generate a verification response according to the verification request. The card reader module 11 can receive the verification response and send it to the control module 13 to determine whether the entered password is correct.

請參考步驟S4:輸入交易內容;當控制模組13在步驟S3判斷通過密碼驗證之後,控制模組13提示該使用者輸入一交易內容,所述交易內容例如係一提款金額。Please refer to step S4: input transaction content; after the control module 13 determines that the password verification is passed in step S3, the control module 13 prompts the user to enter a transaction content, for example, the transaction content is a withdrawal amount.

請參考步驟S5:提示密碼錯誤;承步驟S3所述,若控制模組13根據驗證回覆判斷密碼驗證未通過時,提示使用者輸入密碼錯誤,並返回步驟S2,讓使用者再次輸入密碼。實務上,在使用者輸入錯誤密碼達到一指定次數(例如三次)之後,則金融卡將被鎖卡,其係習知自動櫃員機1已具備之防護方式,於此不贅述,亦不繪示相關步驟於本實施例之流程圖中。Please refer to step S5: prompt password error; as described in step S3, if the control module 13 judges that the password verification fails according to the verification reply, it prompts the user to enter the wrong password, and returns to step S2 to allow the user to enter the password again. In practice, after the user enters the wrong password for a specified number of times (for example, three times), the financial card will be locked. This is the protection method known to the ATM 1 and is not described here. The steps are in the flowchart of this embodiment.

請繼續參考步驟S6,發送交易內容及待驗證影像;具體而言,此步驟係由控制模組13指示自動櫃員機之通訊模組15發送步驟S4所輸入的交易內容以及步驟S1所拍攝的待驗證影像至驗證伺服器5。於此必須特別說明的是,在本發明另一實施例中,步驟S1亦可於步驟S4再執行,換句話說,即使用者通過密碼驗證後,控制模組13才致能攝像模組10拍攝待驗證影像,如此可確保當使用者密碼輸入正確時才進行臉部影像的拍攝,因此減少攝像模組10不必要的電力消耗。而在本發明又一實施例中,通訊模組15可提前在步驟S1取得待驗證影像之後,隨即發送待驗證影像至驗證伺服器5,如此可在使用者輸入交易內容的期間,驗證伺服器5同步進行待驗證影像的比對工作,因此可減少使用者等待臉部驗證程序完成的時間。Please continue to refer to step S6 to send the transaction content and the image to be verified; specifically, this step is that the control module 13 instructs the communication module 15 of the ATM to send the transaction content input in step S4 and the pending verification captured in step S1 Image to authentication server 5. It must be noted here that in another embodiment of the present invention, step S1 can also be executed in step S4, in other words, the control module 13 enables the camera module 10 only after the user passes the password verification The image to be verified is captured, so as to ensure that the face image is captured when the user password is entered correctly, thus reducing unnecessary power consumption of the camera module 10. In yet another embodiment of the present invention, the communication module 15 can obtain the image to be verified in step S1 in advance, and then immediately send the image to be verified to the verification server 5, so that the user can verify the server during the transaction input by the user 5 Simultaneously perform the comparison of the images to be verified, so it can reduce the time the user waits for the facial verification process to complete.

請繼續參考步驟S7,比對帳戶資料庫50之參考影像與待驗證影像;詳言之,驗證伺服器5之運算模組51根據待驗證影像比對帳戶資料庫50,其中帳戶資料庫50包括複數個帳戶資訊且每一帳戶資訊至少包括一第一參考影像。在本發明一實施例中,運算模組51執行臉部辨識相關的演算法(例如Lucas-Kanade方法)將待驗證影像值與第一參考影像逐一運算以得出兩者間的相似程度並判斷該相似程序是否超過一預定閾值。在本發明另一實施例中,運算模組51預先自帳戶資料庫中查找到與卡片帳號具有相同帳戶號碼的一目標帳戶資訊(所述的帳號係於步驟S0由讀卡模組11取得並發送至控制模組13,於步驟S6透過通訊模組14傳送至驗證伺服器5),然後運算模組51僅比對此目標帳戶資訊的第一參考影像與待驗證影像並產生比對結果。Please continue to refer to step S7 to compare the reference image of the account database 50 with the image to be verified; in detail, the arithmetic module 51 of the verification server 5 compares the account database 50 with the image to be verified, wherein the account database 50 includes A plurality of account information and each account information includes at least a first reference image. In an embodiment of the invention, the arithmetic module 51 executes an algorithm related to face recognition (such as the Lucas-Kanade method) to calculate the image value to be verified and the first reference image one by one to obtain the similarity between the two and determine Whether the similar procedure exceeds a predetermined threshold. In another embodiment of the present invention, the computing module 51 finds in advance a target account information with the same account number as the card account from the account database (the account number is obtained by the card reading module 11 in step S0 and Sent to the control module 13 and transmitted to the verification server 5 through the communication module 14 in step S6), and then the calculation module 51 only compares the first reference image of the target account information with the image to be verified and generates a comparison result.

在步驟S7的另一實施例中,除根據第一參考影像與待驗證影像判斷是否為帳戶本人,驗證伺服器5具有表情辨識模組52用以判斷待驗證影像的表情以及判斷帳戶資料庫51中對應帳戶本人的第二參考影像的表情。所述的第二參考影像同樣係使用者預先留存於金融機構的一臉部影像,其特點在於此臉部影像包含使用者自行決定的一表情,因此可透過表情辨識模組對於第二參考影像的表情的判定對於待驗證影像的表情的判斷,而確認使用者是否處於一被脅迫提領的狀態。In another embodiment of step S7, in addition to determining whether it is the account itself based on the first reference image and the image to be verified, the verification server 5 has an expression recognition module 52 for determining the expression of the image to be verified and determining the account database 51 The expression of the second reference image corresponding to the account in. The second reference image is also a face image pre-reserved by the user in the financial institution, and is characterized in that the face image contains an expression determined by the user, so the second reference image can be identified by the expression recognition module The determination of the facial expression is to determine the facial expression of the image to be verified, and to confirm whether the user is in a state of being forced to withdraw.

請一併參考步驟S8「比對通過」及步驟S9「發送可續行訊號」,承步驟S7,若運算模組51可於帳戶資料庫找到一帳戶資訊其第一參考影像與待驗證影像兩者的相似程度在一預定閾值之上,則可判斷為拍攝待驗證影像的使用者確為帳戶本人,因此,運算模組51根據該待驗證影像之產生可續行訊號並透過驗證伺服器5與自動櫃員機1之間的通訊連線發送此可續行訊號。Please refer to step S8 "Compare Pass" and step S9 "Send Renewable Signal" together, following step S7, if the computing module 51 can find an account information in the account database, its first reference image and the image to be verified are both If the similarity of the persons is above a predetermined threshold, it can be determined that the user who took the image to be verified is indeed the account. Therefore, the computing module 51 generates a renewable signal according to the image to be verified and passes the verification server 5 The communication connection with the ATM 1 sends this continuation signal.

請參考步驟S10,執行交易操作;詳言之,當自動櫃員機1的控制模組13接收到可續行訊號後,即指示交易模組15執行前述交易內容設定的項目,例如發放現鈔五千元給使用者。Please refer to step S10 to execute the transaction operation; in detail, when the control module 13 of the ATM 1 receives the renewable signal, it instructs the transaction module 15 to execute the items set by the transaction content, such as issuing five thousand cash notes Yuan to users.

請參考步驟S11,發送警示訊號;承步驟S8,若運算模組51在帳戶資料庫中無法查找與待驗證影像相符的第一參考影像,則代表目前自動櫃員機1很有可能被冒領,因此驗證伺服器1可發送警示訊號給警調單位、金融機構、帳戶本人、或帳戶本人設定的緊急聯絡人以達到即時通知的功效。Please refer to step S11 to send a warning signal; following step S8, if the computing module 51 cannot find the first reference image that matches the image to be verified in the account database, it means that the current ATM 1 is likely to be impersonated, so The verification server 1 can send a warning signal to the police unit, financial institution, account person, or emergency contact person set by the account person to achieve the effect of real-time notification.

綜合以上所述,本發明所揭露的基於臉部辨識進行驗證的交易系統及其方法,藉由在自動櫃員機端拍攝使用者臉部影像並於遠端的驗證伺服器針對臉部影像及其表情進行分析比對,藉此判斷出使用者是否為持卡者本人以及使用者的臉部表情是否異常,因而有效降低了詐騙集團透過車手冒領被害者帳戶或是盜領人頭帳戶的可能,同時也能即時反映帳戶本人受威脅而非自願提領的狀況。換言之,本發明係根據使用者臉部的辨識機制為使用者的帳戶安全加上一道把關程序,在不過度影響使用者原本在自動櫃員機上操作流程的前提下,本發明所揭露的基於臉部辨識進行驗證的交易系統及其方法對於個人的帳戶安全而言無疑更有保障;對於金融機構而言,則可達到即時防堵詐騙或洗錢等不法金融行為的功效。In summary, the transaction system and method for verification based on face recognition disclosed in the present invention, by shooting the user's face image on the ATM side and targeting the face image and its expression on the remote verification server Perform analysis and comparison to determine whether the user is the cardholder and whether the user's facial expression is abnormal, thus effectively reducing the possibility of fraud group fraudulently obtaining the victim's account or stealing the head account through the driver. At the same time, it can immediately reflect the situation of the account being threatened and not voluntary withdrawal. In other words, the present invention adds a check procedure to the user's account security based on the recognition mechanism of the user's face, and on the premise of not excessively affecting the user's original operation process on the ATM, the face-based disclosure of the present invention Identifying and verifying transaction systems and methods are undoubtedly more secure for personal account security; for financial institutions, they can achieve instant anti-fraud or money laundering and other illegal financial activities.

雖然本發明以前述之實施例揭露如上,然其並非用以限定本發明。在不脫離本發明之精神和範圍內,所為之更動與潤飾,均屬本發明之專利保護範圍。關於本發明所界定之保護範圍請參考所附之申請專利範圍。Although the present invention is disclosed as the foregoing embodiments, it is not intended to limit the present invention. Without departing from the spirit and scope of the present invention, all modifications and retouching are within the scope of patent protection of the present invention. For the protection scope defined by the present invention, please refer to the attached patent application scope.

1‧‧‧自動櫃員機 10‧‧‧攝像模組 11‧‧‧讀卡模組 12‧‧‧輸入模組 13‧‧‧控制模組 14‧‧‧通訊模組 15‧‧‧交易模組 5‧‧‧驗證伺服器 50‧‧‧帳戶資料庫 51‧‧‧運算模組 52‧‧‧表情辨識模組 S0~S11‧‧‧步驟1‧‧‧ATM 10‧‧‧Camera module 11‧‧‧Card reader module 12‧‧‧input module 13‧‧‧Control module 14‧‧‧Communication module 15‧‧‧ Trading Module 5‧‧‧Verification server 50‧‧‧ Account database 51‧‧‧ arithmetic module 52‧‧‧Emoji recognition module S0~S11‧‧‧Step

圖1係依據本發明一實施例所繪示的基於臉部辨識進行驗證的交易系統之架構圖。 圖2係依據本發明一實施例所繪示的基於臉部辨識進行驗證的交易方法之流程圖。FIG. 1 is an architecture diagram of a transaction system for verification based on face recognition according to an embodiment of the invention. FIG. 2 is a flowchart of a transaction method based on face recognition for verification according to an embodiment of the invention.

1‧‧‧自動櫃員機 1‧‧‧ATM

10‧‧‧攝像模組 10‧‧‧Camera module

11‧‧‧讀卡模組 11‧‧‧Card reader module

12‧‧‧輸入模組 12‧‧‧input module

13‧‧‧控制模組 13‧‧‧Control module

14‧‧‧通訊模組 14‧‧‧Communication module

15‧‧‧交易模組 15‧‧‧ Trading Module

5‧‧‧驗證伺服器 5‧‧‧Verification server

50‧‧‧帳戶資料庫 50‧‧‧ Account database

51‧‧‧運算模組 51‧‧‧ arithmetic module

52‧‧‧表情辨識模組 52‧‧‧Emoji recognition module

Claims (3)

一種基於臉部辨識進行驗證的交易系統,包括:一自動櫃員機,包括:一攝像模組,包括一紅外線溫度感測元件,該攝像模組用以取得一待驗證影像,該紅外線溫度感測元件用以取得該使用者之一體溫;該待驗證影像包括一使用者之一臉部及該體溫之資訊; 一讀卡模組用以供置入一金融卡、取得該金融卡之一帳號、發送一驗證請求及接收該金融卡所發送之一驗證回覆;一輸入模組用以供輸入一卡片密碼及一交易內容;一控制模組電性連接至該攝像模組、該讀卡模組及該輸入模組,該控制模組用以接收該待驗證影像及該帳號,根據該卡片密碼產生該驗證請求,根據該驗證回覆選擇性地產生一提示訊息及選擇性地指示該攝像模組取得該待驗證影像,且該提示訊息用以提示該使用者輸入該交易內容,該控制模組更用以由該輸入模組接收該交易內容;一顯示模組,電性連接至該控制模組,該顯示模組用以即時呈現該攝像模組所拍攝之該待驗證影像;一通訊模組,電性連接至該控制模組,並用以根據該控制模組之指示發送該帳號、該待驗證影像及該交易內容;及一交易模組,電性連接至該控制模組,並用以根據一可續行訊號執行一交易操作;以及一驗證伺服器,通訊連接至該自動櫃員機之該通訊模組,包括:一帳戶資料庫,包括複數個帳戶資訊,每一該帳戶資訊至少包括一帳戶號碼、一第一參考影像及一第二參考影像,其中該第二參考影像對應於一預設交易項目;一表情辨識模組,電性連接至該帳戶資料庫,該表情辨識模組用以分析該待驗證影像中該臉部之一表情,且該表情辨識模組具有類神經網路之一訓練集;一運算模組,電性連接該帳戶資料庫及該表情辨識模組,該運算模組用以查找該帳戶資料庫中與該帳戶號碼相同之一目標帳戶資訊,比對該待驗證影像及該目標帳戶資訊之該第一參考影像,根據該表情比對該驗證影像及該目標帳戶資訊之該第二參考影像,及判斷該體溫之變化幅度是否超過一合理溫差範圍,並根據一比對結果選擇性地產生該可續行訊號,其中該可續行訊號關聯於該預設交易項目,該運算模組更用以儲存該待驗證影像及該比對結果至所對應之該目標帳戶資訊及該訓練集;及一警示模組,電性連接至該運算模組,該警示模組用以根據該比對結果選擇性地發送一警示訊號。A transaction system for verification based on face recognition, including: an ATM, including: a camera module including an infrared temperature sensing element, the camera module is used to obtain an image to be verified, and the infrared temperature sensing element It is used to obtain a body temperature of the user; the image to be verified includes information of a user's face and the body temperature; a card reading module is used for placing a financial card, obtaining an account of the financial card, Send a verification request and receive a verification reply sent by the financial card; an input module is used to input a card password and a transaction content; a control module is electrically connected to the camera module and the card reading module And the input module, the control module is used to receive the to-be-verified image and the account number, generate the verification request according to the card password, selectively generate a prompt message and selectively instruct the camera module according to the verification reply Obtain the to-be-verified image, and the prompt message is used to prompt the user to input the transaction content, and the control module is used to receive the transaction content from the input module; a display module is electrically connected to the control module Group, the display module is used to present the to-be-verified image captured by the camera module in real time; a communication module is electrically connected to the control module and used to send the account number and the account according to the instruction of the control module The image to be verified and the transaction content; and a transaction module, which is electrically connected to the control module and used to perform a transaction operation according to a renewable signal; and a verification server, which is communicatively connected to the ATM The communication module includes: an account database, including a plurality of account information, each of which includes at least an account number, a first reference image, and a second reference image, where the second reference image corresponds to a pre- Set transaction items; an expression recognition module, electrically connected to the account database, the expression recognition module is used to analyze an expression of the face in the image to be verified, and the expression recognition module has a neural network-like A training set; a computing module, electrically connected to the account database and the expression recognition module, the computing module is used to find the target account information in the account database that is the same as the account number, and compare The first reference image of the to-be-verified image and the target account information, compare the verification image and the second reference image of the target account information according to the expression ratio, and determine whether the variation range of the body temperature exceeds a reasonable temperature difference range, and The renewable signal is selectively generated according to a comparison result, wherein the sustainable signal is associated with the default transaction item, and the arithmetic module is further used to store the image to be verified and the comparison result to the corresponding The target account information and the training set; and a warning module electrically connected to the computing module, the warning module is used to selectively send a warning signal according to the comparison result. 一種基於臉部特徵進行驗證的交易方法,包括:以一自動櫃員機的一讀卡模組接收一金融卡;在該讀卡模組取得該金融卡後,以該自動櫃員機之一攝像模組取得包括一使用者之一臉部的一待驗證影像,並以該自動櫃員機之一攝像模組之一紅外線溫度感測元件取得該使用者之一體溫;以該控制模組接收包括該體溫之資訊之該待驗證影像並指示該自動櫃員機之一通訊模組發送該待驗證影像至一驗證伺服器;在該讀卡模組取得該金融卡後,以該自動櫃員機的一輸入模組接收一卡片密碼;以該自動櫃員機之一控制模組根據該卡片密碼產生一驗證請求並透過該讀卡模組發送該驗證請求至該金融卡;以該讀卡模組接收該金融卡之一驗證回覆並發送該驗證回覆至該控制模組;以該控制模組基於該驗證回覆選擇性地產生一提示訊息及選擇性地指示該攝像模組取得該待驗證影像,該提示訊息用以提示該使用者輸入該交易內容;以一顯示模組即時呈現該攝像模組所拍攝之該待驗證影像;以該控制模組接收該交易內容並指示該通訊模組發送該交易內容至該驗證伺服器;以該驗證伺服器之一運算模組根據該待驗證影像比對一帳戶資料庫,其中該帳戶資料庫包括複數個帳戶資訊且每一該帳戶資訊至少包括一第一參考影像及一第二參考影像;以該驗證伺服器之一表情辨識模組分析該待驗證影像中該臉部之一表情;以該運算模組根據該表情比對該待驗證影像與該帳戶資料庫中該些第二參考影像其中至少一;當該待驗證影像對應至該些帳戶資訊其中之一時,以該運算模組儲存該待驗證影像及該比對結果至所對應之該帳戶資訊;以該運算模組判斷該體溫之變化幅度是否超過一合理溫差範圍並據以產生一判斷結果;以該運算模組根據該判斷結果、該待驗證影像與該些第一參考影像其中至少一之該比對結果及該驗證影像與該些第二參考影像其中至少一之另一比對結果並選擇性地產生一可續行訊號;在該運算模組選擇不產生該可續行訊號時,以該驗證伺服器之一警示模組發送一警示訊號;在該運算模組選擇產生該可續行訊號時,以該驗證伺服器發送該可續行訊號至該自動櫃員機;以及以該自動櫃員機之一交易模組根據該可續行訊號及該交易內容執行一交易操作。A transaction method for verification based on facial features includes: receiving a financial card with a card reading module of an ATM; after acquiring the financial card with the card reading module, acquiring with a camera module of the ATM Including a to-be-verified image of a face of a user, and using an infrared temperature sensing element of a camera module of the ATM to obtain a body temperature of the user; receiving information including the body temperature with the control module The image to be verified and instructs a communication module of the ATM to send the image to be verified to a verification server; after the card reader module obtains the financial card, an input module of the ATM receives a card Password; a control module of the ATM generates a verification request based on the card password and sends the verification request to the financial card through the card reading module; the card reading module receives a verification reply of the financial card and Sending the verification reply to the control module; the control module selectively generates a prompt message based on the verification reply and selectively instructs the camera module to obtain the image to be verified, the prompt message is used to alert the user Input the transaction content; present the to-be-verified image captured by the camera module with a display module; receive the transaction content with the control module and instruct the communication module to send the transaction content to the verification server; An operation module of the verification server compares an account database according to the image to be verified, wherein the account database includes a plurality of account information and each of the account information includes at least a first reference image and a second reference image Analyzing an expression of the face in the image to be verified with an expression recognition module of the verification server; using the arithmetic module to compare the image to be verified with the second references in the account database according to the expression ratio At least one of the images; when the image to be verified corresponds to one of the account information, the calculation module is used to store the image to be verified and the comparison result to the corresponding account information; the calculation module determines the Whether the variation range of body temperature exceeds a reasonable temperature difference range and accordingly generate a judgment result; the calculation module uses the comparison result and the verification based on the judgment result, at least one of the to-be-verified image and the first reference images Another comparison result of at least one of the image and the second reference images and selectively generate a sustainable signal; when the arithmetic module chooses not to generate the sustainable signal, one of the verification servers is used The warning module sends a warning signal; when the computing module selects to generate the renewable signal, the verification server is used to send the renewable signal to the ATM; and a transaction module of the ATM is used according to the The transaction signal and the transaction content can be used to execute a transaction operation. 如請求項2所述的基於臉部特徵進行驗證的交易方法,其中:在該讀卡模組接收該金融卡時,更包括以該讀卡模組接收該金融卡之一帳號;在該控制模組指示該通訊模組發送該交易內容至該驗證伺服器時,更包括以該控制模組指示該通訊模組發送該帳號;以及在該運算模組根據該待驗證影像比對該帳戶資料庫之前,更包括先以該運算模組比對每一該些帳戶資訊中之一帳戶號碼與該帳號,並以該帳戶號碼與該帳號相同之帳戶資訊之該第一參考影像與該待驗證影像進行比對。The transaction method for verifying based on facial features according to claim 2, wherein: when the card reading module receives the financial card, it further includes receiving an account number of the financial card with the card reading module; in the control When the module instructs the communication module to send the transaction content to the verification server, the control module further instructs the communication module to send the account number; and the calculation module compares the account data according to the image to be verified Before the library, it also includes comparing the account number and the account number of each of the account information with the computing module, and using the first reference image of the account information with the account number and the account number and the to-be-verified The images are compared.
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