TW202044075A - Biometric identification transaction system - Google Patents
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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。This disclosure relates to a biometric transaction system, and in particular, to a biometric transaction system that uses 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, in practice, people who receive cash at an Automatic Teller Machine (ATM) need to hold a physical financial card, and provide the chip on the financial card for the ATM to read the accounting information, and then input by the user The correct password on the chip can only complete the withdrawal. However, often due to factors such as users forgetting the password, dampness of the chip, damage to the chip, or forgetting to carry a financial card, etc., the regret that there is an ATM but cannot withdraw cash or purchase foreign currency cash. Therefore, how to reduce the trouble of password input and reduce the risk of loss and theft of the financial card during the transaction is the goal of those skilled in the art.
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。This disclosure provides a biometric transaction system that uses 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。This disclosure proposes a biometric identification transaction system, including: an automatic teller machine; a main identification component installed on the automatic teller machine; and a secondary identification component installed on the automatic teller machine. The main identification component scans the user's main biological characteristics, and the ATM searches for one or more accounts corresponding to the main biological characteristics. The automated teller machine receives an input instruction to select a selected account from one or more accounts. The ATM receives the transaction request. The secondary identification component scans the user's secondary biological characteristics, and the ATM determines whether the secondary biological characteristics correspond to the selected account. If the secondary biometrics correspond to the selected account number, 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 disclosed in the present disclosure will first use the main identification components on the ATM to scan the user's main biometric characteristics and search for one or more corresponding accounts, and then provide the user to select from the above one or more accounts Select an account. After the user submits a transaction request, the secondary identification element on the ATM can scan the user's secondary biometrics as a password. In other words, when the secondary biometrics correspond to the selected account number, the ATM can allow transaction requests.
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。In order to make the above-mentioned features and advantages of the present disclosure more obvious and understandable, the following specific embodiments are described in detail in conjunction with the accompanying drawings.
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。FIG. 1 is a block diagram of a biometric transaction system according to an embodiment of the 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。Please refer to FIG. 1, the
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
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 arrives at the
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, when the match percentage between the main biological characteristics and the preset main biological characteristics corresponding to one or more accounts is greater than a threshold value (for example, greater than 95%), the
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 one embodiment, when the matching percentage of the secondary biometrics and the preset secondary biometrics corresponding to the selected account is greater than the threshold value (for example, greater than 95%), the
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 database of the
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 disclosed in the present disclosure will first use the main identification components on the ATM to scan the user's main biometrics and search for one or more corresponding accounts, and then provide the user with information from the above one or more accounts. Select the selected account. After the user submits a transaction request, the secondary identification element on the ATM can scan the user's secondary biometrics as a password. In other words, when the secondary biometrics correspond to the selected account number, the ATM can allow transaction requests. In addition, the biometric transaction system disclosed in the present disclosure can also update the primary biometrics and/or secondary biometrics in the database according to the primary biometrics and/or secondary biometrics successfully verified by the latest transaction to record the user The latest major biological characteristics and/or secondary biological characteristics.
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。Although this disclosure has been disclosed in the above embodiments, it is not intended to limit the disclosure. Anyone with ordinary knowledge in the relevant technical field can make some changes and modifications without departing from the spirit and scope of this disclosure. Therefore, The scope of protection of this disclosure shall be subject to those defined by the attached patent scope.
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: ATM 120: Main identification components 130: secondary identification component
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。FIG. 1 is a block diagram of a biometric transaction system according to an embodiment of the disclosure.
100:生物辨識交易系統 100: Biometric trading system
110:自動櫃員機 110: ATM
120:主要辨識元件 120: Main identification components
130:次要辨識元件 130: secondary identification component
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