2019 International Conference on Information and Digital Technologies. Biometric Privacy through Hand Geometry- A Survey.
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National Science and Technology Council (US). The technology uses biometric identification by scanning the client's hand and reading various features like the position of veins and bones and it was tested by Amazon since 2019. It is an alternative payment system to using credit cards. Hand-recognition payment, also named pay-by-hand is a payment method that uses the scanning of one's hand. Reduced template size so takes up less storage.Fast results due to low-computational cost algorithms.Advantages Īlthough hand geometry is not considered to be the most secure compared to other biometric points, there are some advantages to this method. Although production ceased in 1987, the idea remains popular common applications include access control and time-and-attendance operations. Based on Robert Miller's patent, Identimat utilized light sensing cells to measure finger length and a magnetic strip card reader to verify identification cards and compared the information given to determine the authorization of the person. Ī hand-geometry system‚ Identimat, was used at Shearson Hamil on Wall Street to track attendance, marking the beginning of biometric technology usage. There have been many patents issued for devices that measure hand geometry from the U.S.
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There have also been proposed methods to include hand-geometry with palm print-based verification for better accuracy and performance. However, hand geometry is very reliable when combined with other forms of identification, such as identification cards or personal identification numbers. In large populations, hand geometry is not suitable for so-called one-to-many applications, in which a user is identified from his biometric without any other identification. Fingerprinting and iris recognition remain the preferred technology for high-security applications.
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Hand geometry is not thought to be as unique as fingerprints, palm veins or irises. David Sidlauskas was also a major player in the hand geometry device production, and he patented Handkey ID3D, the first hand scanner that worked in 3D that involved an optical measuring plate, camera, and numeric keypad to enter a personal PIN. The device would measure the hand, and the numbers needed to match the punched holes of a user ID card to activate the circuit to be identified. Robert Miller realized the distinctive features of hand sizes and shapes could be used for identification and patented the first automated hand geometry device at the Stanford Research Institute in 1971.
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Viable hand geometry devices have been manufactured since the early 1970s, making hand geometry the first biometric to find widespread computerized use.