TWM582633U - Biometric identification transaction system - Google Patents
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- TWM582633U TWM582633U TW108206372U TW108206372U TWM582633U TW M582633 U TWM582633 U TW M582633U TW 108206372 U TW108206372 U TW 108206372U TW 108206372 U TW108206372 U TW 108206372U TW M582633 U TWM582633 U TW M582633U
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Abstract
Description
本揭露是有關於一種生物辨識交易系統,且特別是有關於一種利用生物特徵雙重確認交易安全的生物辨識交易系統。The present disclosure relates to a biometric transaction system, and more particularly to a biometric transaction system that utilizes biometrics to double confirm transaction security.
目前實務上民眾於自動櫃員機(Automatic Teller Machine,ATM)領取現鈔均需持有實體金融卡,並配合提供晶片金融卡上之晶片供自動櫃員機讀取帳務資料後,另須由使用者輸入晶片上之正確密碼始得完成取款。惟常因使用者忘記密碼、晶片受潮、晶片毀損甚或忘記攜帶金融卡等因素,以致發生有自動櫃員機但終無法順利提領現金或購買外幣現鈔之遺憾。因此,如何在交易時減省密碼輸入麻煩及減少金融卡遺失被盜領之風險是本領域技術人員應致力的目標。At present, people in the practice of receiving automatic cash in the Automatic Teller Machine (ATM) are required to hold a physical financial card, and in conjunction with the chip on the chip financial card for the ATM to read the accounting information, the user must input The correct password on the wafer begins to complete the withdrawal. However, due to factors such as the user forgetting the password, the wafer being wet, the wafer being damaged or even forgetting to carry the financial card, there is a regret that the automatic teller machine can not smoothly withdraw cash or purchase foreign currency cash. Therefore, how to reduce the trouble of password input and reduce the risk of theft of the financial card being stolen is a goal that those skilled in the art should strive for.
本揭露提供一種生物辨識交易系統,利用生物特徵雙重確認交易安全。The present disclosure provides a biometric transaction system that utilizes biometrics to double confirm transaction security.
本揭露提出一種生物辨識交易系統,包括:自動櫃員機;主要辨識元件,設置於自動櫃員機上;以及次要辨識元件,設置於自動櫃員機上。主要辨識元件掃描使用者的主要生物特徵,且自動櫃員機搜尋主要生物特徵對應的一到多個帳號。自動櫃員機接收輸入指令來選擇一到多個帳號中的選定帳號。自動櫃員機接收交易請求。次要辨識元件掃描使用者的次要生物特徵,且自動櫃員機判斷次要生物特徵是否對應選定帳號。若次要生物特徵對應選定帳號,自動櫃員機允許交易請求。The present disclosure proposes a biometric transaction system comprising: an automatic teller machine; a main identification component disposed on the automated teller machine; and a secondary identification component disposed on the automated teller machine. The primary identification component scans the user's primary biometrics, and the automated teller machine searches for one or more account numbers corresponding to the primary biometric. The ATM receives an input command to select a selected one of the one or more accounts. The ATM receives the transaction request. The secondary identification component scans the user's secondary biometrics and the automated teller machine determines if the secondary biometric corresponds to the selected account. If the secondary biometric corresponds to the selected account, the ATM allows the transaction request.
基於上述,本揭露的生物辨識交易系統會先利用自動櫃員機上的主要辨識元件掃描使用者的主要生物特徵並搜尋對應的一到多個帳號,再提供使用者從上述一到多個帳號中選出選定帳號。在使用者提出交易請求後,自動櫃員機上的次要辨識元件可掃描使用者的次要生物特徵作為密碼。也就是說,當次要生物特徵對應選定帳號時,自動櫃員機可允許交易請求。Based on the above, the biometric transaction system of the present disclosure first scans the user's main biometrics by using the main identification component on the ATM and searches for one or more corresponding accounts, and then provides the user to select one or more accounts. Selected account. After the user makes a transaction request, the secondary identification component on the automated teller machine can scan the secondary biometric of the user as a password. That is, the ATM can allow a transaction request when the secondary biometric corresponds to the selected account.
為讓本揭露的上述特徵和優點能更明顯易懂,下文特舉實施例,並配合所附圖式作詳細說明如下。The above described features and advantages of the present invention will be more apparent from the following description.
圖1為根據本揭露一實施例的生物辨識交易系統的方塊圖。1 is a block diagram of a biometric transaction system in accordance with an embodiment of the present disclosure.
請參照圖1,本揭露一實施例的生物辨識交易系統100包括自動櫃員機110、主要辨識元件120及次要辨識元件130。主要辨識元件120可設置於自動櫃員機110上並耦接到自動櫃員機110。次要辨識元件130可設置於自動櫃員機110上並耦接到自動櫃員機110。主要辨識元件120可掃描使用者的主要生物特徵(例如,臉部資訊及活體三維影像資訊)而次要辨識元件130可掃描使用者的次要生物特徵(例如,指紋資訊、掌紋資訊、虹膜資訊、視網膜資訊、聲紋資訊及指靜脈資訊)。透過主要辨識元件120在辨識使用者的精確度,會高於透過次要辨識元件130在辨識使用者的精確度。主要辨識元件120例如是臉部辨識元件(例如,影像感測器)及活體三維影像辨識元件(例如,三維影像感測器)的至少其中之一。次要辨識元件130例如是指紋辨識元件(例如,指紋感測器)、掌紋辨識元件(例如,掌紋感測器)、虹膜辨識元件(例如,虹膜感測器)、視網膜辨識元件(例如,視網膜感測器)、聲紋辨識元件(例如,麥克風)及指靜脈辨識元件(例如,指靜脈感測器)的至少其中之一。Referring to FIG. 1 , the biometric transaction system 100 of the present embodiment includes an automated teller machine 110 , a primary identification component 120 , and a secondary identification component 130 . The primary identification component 120 can be disposed on the automated teller machine 110 and coupled to the automated teller machine 110. The secondary identification component 130 can be disposed on the automated teller machine 110 and coupled to the automated teller machine 110. The primary identification component 120 can scan the user's primary biometric features (eg, facial information and live three-dimensional imaging information) and the secondary identification component 130 can scan the user's secondary biological features (eg, fingerprint information, palm print information, iris information) , retinal information, voiceprint information and finger vein information). The accuracy of identifying the user through the primary identification component 120 is higher than the accuracy of identifying the user through the secondary identification component 130. The main identification component 120 is, for example, at least one of a face recognition component (for example, an image sensor) and a living body 3D image recognition component (for example, a 3D image sensor). The secondary identification component 130 is, for example, a fingerprint recognition component (eg, a fingerprint sensor), a palmprint recognition component (eg, a palmprint sensor), an iris recognition component (eg, an iris sensor), a retina recognition component (eg, a retina) At least one of a sensor), a voiceprint recognition component (eg, a microphone), and a finger vein recognition component (eg, a finger vein sensor).
在一實施例中,自動櫃員機110還可包括處理器(未繪示於圖中)。處理器可透過有線網路或無線網路從遠端伺服器獲得使用者的主要生物特徵及次要生物特徵的預設資料並與使用者在自動櫃員機110前掃描得到的主要生物特徵及次要生物特徵進行比較。在另一實施例中,使用者的主要生物特徵及次要生物特徵的預設資料也可儲存或暫存於自動櫃員機110的儲存裝置中。In an embodiment, the automated teller machine 110 may also include a processor (not shown). The processor can obtain the user's main biometric and secondary biometric preset data from the remote server through the wired network or the wireless network and scan the main biometrics and secondary information obtained by the user in front of the ATM 110. Biometrics were compared. In another embodiment, the user's primary biometric and secondary biometric preset data may also be stored or temporarily stored in the storage device of the automated teller machine 110.
當使用者到自動櫃員機110前準備進行交易時,主要辨識元件120可掃描使用者的主要生物特徵(例如,臉部影像),且自動櫃員機110搜尋主要生物特徵對應的一到多個帳號,並將搜尋到的一到多個帳號顯示出來以供使用者選擇。接著,自動櫃員機110接收使用者輸入指令來選擇一到多個帳號中的選定帳號來進行交易,且自動櫃員機110接收交易請求(例如,使用者透過自動櫃員機110輸入的存款請求、提款請求、跨行轉帳請求或其他交易請求)。為了授權使用者的交易請求,次要辨識元件130可掃描使用者的次要生物特徵,且自動櫃員110機判斷次要生物特徵(例如,指紋)是否對應選定帳號。換句話說,使用者的次要生物特徵可視為交易密碼。若次要生物特徵對應選定帳號,自動櫃員110機允許交易請求並執行交易請求。When the user prepares to conduct a transaction before the automated teller machine 110, the primary identification component 120 can scan the user's primary biometric features (eg, facial images), and the automated teller machine 110 searches for one or more account numbers corresponding to the primary biometrics, and Display one or more of the searched accounts for the user to select. Next, the automated teller machine 110 receives the user input command to select a selected one of the one or more account accounts for the transaction, and the automated teller machine 110 receives the transaction request (eg, the deposit request, the withdrawal request, the user inputs through the automated teller machine 110, Interbank transfer request or other transaction request). To authorize the user's transaction request, the secondary identification component 130 can scan the secondary biometrics of the user, and the automated teller machine 110 determines whether the secondary biometric (eg, fingerprint) corresponds to the selected account. In other words, the secondary biometric of the user can be considered a transaction password. If the secondary biometric corresponds to the selected account, the automated teller machine 110 allows the transaction request and executes the transaction request.
在一實施例中,當主要生物特徵與對應一到多個帳號的預設主要生物特徵的匹配百分比(match percentage)大於門檻值(例如,大於95%)時,自動櫃員機110利用主要生物特徵來更新預設主要生物特徵。也就是說,遠端伺服器或自動櫃員機110的資料庫所記錄的可以是使用者最新一次交易所成功通過掃描認證的主要生物特徵。In one embodiment, the automated teller machine 110 utilizes the primary biometrics when the match percentage of the primary biometric and the predetermined primary biometric corresponding to one or more account numbers is greater than a threshold (eg, greater than 95%). Update preset main biometrics. That is to say, the database recorded by the remote server or the ATM 110 may be the main biometric of the user's latest transaction that successfully passed the scan authentication.
在一實施例中,當次要生物特徵與對應選定帳號的預設次要生物特徵的匹配百分比大於門檻值(例如,大於95%)時,自動櫃員機110利用次要生物特徵來更新預設次要生物特徵。也就是說,遠端伺服器或自動櫃員機110的資料庫所記錄的可以是使用者最新一次交易所成功通過掃描認證的次要生物特徵。In an embodiment, the automated teller machine 110 updates the preset time with the secondary biometric when the matching percentage of the secondary biometric to the preset secondary biometric corresponding to the selected account is greater than a threshold (eg, greater than 95%) Want biometrics. That is to say, the database recorded by the remote server or the automated teller machine 110 may be a secondary biometric that the user successfully passes the scan authentication after the latest exchange.
在一實施例中,遠端伺服器或自動櫃員機110的資料庫也可記錄每次使用者交易時成功通過掃描認證的主要生物特徵,並將這些主要生物特徵與使用者的帳號進行連結。在使用者每次交易時,自動櫃員機110可判斷資料庫中與當次交易所掃描的主要生物特徵的匹配百分比大於門檻值的多個主要生物特徵所對應的多個帳號,並將這些帳號中重覆最多次的帳號作為當次交易的使用者的帳號。舉例來說,當使用者A掃描主要生物特徵時,資料庫中可能有10筆主要生物特徵與使用者A掃描主要生物特徵的匹配百分比大於門檻值,其中9筆主要生物特徵對應使用者A的帳號且另外1筆主要生物特徵對應使用者B的帳號。則自動櫃員機110可判斷當次掃描應該對應到使用者A的帳號。如此可減少誤判的情況發生。In one embodiment, the remote server or the library of the automated teller machine 110 may also record the primary biometrics that successfully passed the scan authentication each time the user trades, and link these primary biometrics to the user's account number. At each transaction of the user, the automated teller machine 110 can determine that the matching percentage of the main biometrics scanned in the database with the current biometrics of the current transaction is greater than the plurality of accounts corresponding to the plurality of main biometrics of the threshold value, and the accounts are The account with the most repetitions is the account of the user of the current transaction. For example, when user A scans the main biometrics, the matching percentage of 10 main biometrics in the database and the main biometrics scanned by user A is greater than the threshold, and 9 main biometrics correspond to user A's. The account number and another major biometric feature correspond to user B's account number. The ATM 110 can determine that the current scan should correspond to the account of User A. This can reduce the occurrence of false positives.
綜上所述,本揭露的生物辨識交易系統會先利用自動櫃員機上的主要辨識元件掃描使用者的主要生物特徵並搜尋對應的一到多個帳號,再提供使用者從上述一到多個帳號中選出選定帳號。在使用者提出交易請求後,自動櫃員機上的次要辨識元件可掃描使用者的次要生物特徵作為密碼。也就是說,當次要生物特徵對應選定帳號時,自動櫃員機可允許交易請求。此外,本揭露的生物辨識交易系統還可根據最新一次交易所驗證成功的主要生物特徵及/或次要生物特徵來更新資料庫中的主要生物特徵及/或次要生物特徵,以記錄使用者最新的主要生物特徵及/或次要生物特徵資料。In summary, the biometric transaction system of the present disclosure first scans the user's main biometrics by using the main identification components on the ATM and searches for one or more corresponding accounts, and then provides the user with one or more accounts from the above. Select the selected account. After the user makes a transaction request, the secondary identification component on the automated teller machine can scan the secondary biometric of the user as a password. That is, the ATM can allow a transaction request when the secondary biometric corresponds to the selected account. In addition, the biometric transaction system of the present disclosure can update the main biometric and/or secondary biometrics in the database according to the main biometrics and/or secondary biometrics verified by the latest transaction to record the user. The latest major biometric and/or secondary biometric data.
雖然本揭露已以實施例揭露如上,然其並非用以限定本揭露,任何所屬技術領域中具有通常知識者,在不脫離本揭露的精神和範圍內,當可作些許的更動與潤飾,故本揭露的保護範圍當視後附的申請專利範圍所界定者為準。The present disclosure has been disclosed in the above embodiments, but it is not intended to limit the disclosure, and any person skilled in the art can make some changes and refinements without departing from the spirit and scope of the disclosure. The scope of protection of this disclosure is subject to the definition of the scope of the appended claims.
100‧‧‧生物辨識交易系統 110‧‧‧自動櫃員機 120‧‧‧主要辨識元件 130‧‧‧次要辨識元件 100‧‧‧Biometric Trading System 110‧‧‧Automatic Teller Machine 120‧‧‧ main identification components 130‧‧‧ secondary identification components
圖1為根據本揭露一實施例的生物辨識交易系統的方塊圖。1 is a block diagram of a biometric transaction system in accordance with an embodiment of the present disclosure.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| TWI709100B (en) * | 2019-08-30 | 2020-11-01 | 兆豐國際商業銀行股份有限公司 | Transaction management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| TWI709100B (en) * | 2019-08-30 | 2020-11-01 | 兆豐國際商業銀行股份有限公司 | Transaction management system |
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