The set of features considered in this paper consists of the spatial coordinates of certain landmarks on the contour. By continuing you agree to the use of cookies, University of Twente Research Information data protection policy, University of Twente Research Information contact form. Automatic biometric identification system by hand geometry. Some of these techniques combine the biometric measurement with a personal identification number. Hand geometry pattern recognition through Gaussian mixture modeling. 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. Peg-Free Hand Shape Verification Using High Order Zernike Moments. Personal Verification Using Palmprint and Hand Geometry Biometric. E. Yoruk, E. Konukoglu, B. Sankur, and J. Darbon. © 2020 Springer Nature Switzerland AG. In. The process is fast and easy to implement. Consequently, hand geometry is not suitable if there is a need to search the biometrics database to determine if a person has previously enrolled in the database or is in a watch list. Shape-based hand recognition. 2. The feature set and the recognition method used are discussed in detail. Biometric identification through hand geometry measurements. The hand geometry is not unique and cannot be used in identification systems Not ideal for growing children Jewelry (rings, etc), limited dexterity (arthritis, etc) etc may pose a challenge in extracting the hand geometry information The data size of hand geometry biometrics is large and is not ideal for using it in embedded systems GAO-03-174. [2] G. Boreki, A. Zimmer, Hand geometry: a new ap-proach for feature extraction, Proceeding of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies, pp.149–154, 2005. Y. Bulatov, S. Jambawalikar, P. Kumar, and S. Sethia. Booij, A.J. Although the basic shape of an individual’s hand remains relatively stable over his or her lifetime, natural and environmental factors can cause slight changes. The usefulness of the proposed feature set is evaluated experimentally in a verification context. booktitle = "SPIE Biometric Technology for Human Identification II". For medium level organization hand based recognition is highly accepted due to its universality, accessibility and low cost. Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2020 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content.

There is no technical knowledge required for the operation of system. AU - Bazen, A.M. This paper demonstrates the feasibility of a new method of hand-geometry recognition based on parameters derived from the contour of the hand. title = "Hand-Geometry Recognition Based on Contour Parameters".

T. Mansfield and G. Kelly and D. Chandler and J. Kan. Biometric Product Testing Final Report. It can be modelled by parameters, or features, that can capture more details of the shape of the hand than what is possible with the standard geometrical features used in hand-geometry recognition. IEEE Transactions on Image Processing, (7):15, July 2006. N1 - Imported from DIES. The usefulness of the proposed feature set is evaluated experimentally in a verification context. AU - Veldhuis, Raymond N.J. In use, an individual enters a personal identification number (PIN) code to claim an identity and then places his or her hand on a device that takes a picture of his hand. The contour is completely determined by the black-and-white image of the hand and can be derived from it by means of simple image-processing techniques. RELATED WORK The contour is completely determined by the black-and-white image of the hand and can be derived from it by means of simple image-processing techniques. M. McCabe. Booij and A.J. C. Oden, A. Ercil, V. Yildiz, H. Kirmizitas, and B. Buke. Hand geometry is very reliable when combined with other forms of identification, such as identification cards or personal identification numbers.
BT - SPIE Biometric Technology for Human Identification II, PB - SPIE - The International Society for Optical Engineering. It can be modelled by parameters, or features, that can capture more details of the shape of the hand than what is possible with the standard geometrical features used in hand-geometry recognition.

Hand-Geometry Recognition Based on Contour Parameters. E. Yoruk, E. Konukoglu, B. Sankur, and J. Darbon. Deformable matching of hand shapes for verification. A. K. Jain and N. Duta. In, D. L. Woodard P. J. Flynn. These keywords were added by machine and not by the authors. Hand geometry based biometric systems are gaining acceptance in low to medium security applications. Cite as. Not logged in G. Zheng, T. E. Boult, and C. J. Wang. In. The feature set and the recognition method used are discussed in detail. G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu. In 15th. Other techniques use the size and proportions of the hand or the distances between the joints of the fingers, infrared hand topography, palm print and crease geometry, or transverse hand geometry (viewing the sides of the fingers to measure hand thickness as well as shape). The proposed system is a verification system which utilizes some hand geometry features for user authentication.


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