The feature set and the recognition method used are discussed in detail. Over 10 million scientific documents at your fingertips. The oldest hand geometry technique was based on the length of fingers and the thickness and curvature of the webbing between them. In. Personal Verification Using Palmprint and Hand Geometry Biometric. 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. [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. Y1 - 2005/3. In, R. Sanchez-Reillo. The proposed system is a verification system which utilizes some hand geometry features for user authentication. The usefulness of the proposed feature set is evaluated experimentally in a verification context. Part of Springer Nature. Cite as. T1 - Hand-Geometry Recognition Based on Contour Parameters. One of the shortcomings of the hand geometry biometric characteristic is that it is not highly unique — thus limiting the value of a hand geometry system to verification tasks only. In. Hand-Geometry Recognition Based on Contour Parameters. 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. The feature set and the recognition method used are discussed in detail. A Comparison of Hand-Geometry Recognition Methods Based on Low and High-Level Features. AU - Bazen, A.M. 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. http://w3.impa.br/∼lvelho/sibgrapi2005/html/p13063/p13063.pdf. AU - Hendrikse, A.J. Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2020 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content. 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. A Comparison of Hand-Geometry Recognition Methods Based on Low and High-Level Features. author = "Veldhuis, {Raymond N.J.} and A.M. Bazen and W.D.T. G. Amayeh, G. Bebis, A. Erol, and M. Nicolescu. publisher = "SPIE - The International Society for Optical Engineering", Chapter in Book/Report/Conference proceeding, SPIE - The International Society for Optical Engineering, http://eprints.eemcs.utwente.nl/secure2/711/01/PSI000344.pdf, Hand-Geometry Recognition Based on Contour Parameters, SPIE Biometric Technology for Human Identification II. Hand geometry based identification systems utilize the geometric features of the hand like length and width of the fingers, diameter of the palm and the perimeter. / Veldhuis, Raymond N.J.; Bazen, A.M.; Booij, W.D.T. The feature set and the recognition method used are discussed in detail. Shape-based hand recognition. Technical report, National Physical Laboratory of UK, March 2001. E. Yoruk, E. Konukoglu, B. Sankur, and J. Darbon. By continuing you agree to the use of cookies, University of Twente Research Information data protection policy, University of Twente Research Information contact form. A. K. Jain and N. Duta. S. Gonzalez, C. M. Travieso, J. For medium level organization hand based recognition is highly accepted due to its universality, accessibility and low cost. The feature set and the recognition method used are discussed in detail. 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. N1 - Imported from DIES. B. Alonso, and M. A. Ferrer. T1 - Hand-Geometry Recognition Based on Contour Parameters. Hand geometry recognition technology measures the width, height, and length of the fingers, distances between joints, and shapes of the knuckles. ANSI/NIST fingerprint standard update, September 2005. AU - Booij, W.D.T. ; Hendrikse, A.J. In, © Springer Science+Business Media, LLC 2008, https://doi.org/10.1007/978-0-387-71041-9_5. J. P. Holmes, L. J. Wright, and R. L. Maxwell. Pay-by-hand. Hand geometry based biometric systems are gaining acceptance in low to medium security applications. IEEE Transactions on Image Processing, (7):15, July 2006. 46.41.144.57. The key feature of palm print and hand geometry based system is that it is user friendly. Personal Identification by Projective Invariant Hand Geometry. R. N. J. Veldhuis, A. M. Bazen, W. Booij, and A. J. Hendrikse. GAO-03-174. This service is more advanced with JavaScript available, Handbook of Biometrics Hand recognition using implicit polynomials and geometric features. The usefulness of the proposed feature set is evaluated experimentally in a verification context. Raymond N.J. Veldhuis, A.M. Bazen, W.D.T. The verification performance obtained with contour-based features is compared with the verification performance of other methods described in the literature. 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). Not logged in This process is experimental and the keywords may be updated as the learning algorithm improves. Google Scholar. © 2020 Springer Nature Switzerland AG. In Proceedings of the 15th Annual Workshop on Circuits, Systems and Signal Processing (ProRISC), pages 326–330, Veldhoven, Netherlands, 2004. pp 91-107 | A prototype hand geometry based verification system. RELATED WORK M. McCabe. Hand geometry recognition technology measures the width, height, and length of the fingers, distances between joints, and shapes of the knuckles. C. Oden, A. Ercil, V. Yildiz, H. Kirmizitas, and B. Buke. Technology assessment: Using biometrics for border security, November 2002. Unable to display preview. The verification performance obtained with contour-based features is compared with the verification performance of other methods described in the literature. PY - 2005/3. booktitle = "SPIE Biometric Technology for Human Identification II". In, A. K. Jain, A. Ross, and S. Pankanti. Rethinking Personal Data: A New Lens for Strengthening Trust, Information Security: Challenges in Using Biometrics, Privacy and Biometrics: Building a Conceptual Foundation, Technology Assessment: Using Biometrics for Border Security, https://itlaw.wikia.org/wiki/Hand_geometry_recognition?oldid=108815. Booij and A.J. 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. title = "Hand-Geometry Recognition Based on Contour Parameters". N2 - This paper demonstrates the feasibility of a new method of hand-geometry recognition based on parameters derived from the contour of the hand. G. Zheng, T. E. Boult, and C. J. Wang. The set of features considered in this paper consists of the spatial coordinates of certain landmarks on the contour. Some of these techniques combine the biometric measurement with a personal identification number. 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. Hendrikse". Hand geometry based biometric systems are gaining acceptance in low to medium security applications. 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 The set of features considered in this paper consists of the spatial coordinates of certain landmarks on the contour. This paper demonstrates the feasibility of a new method of hand-geometry recognition based on parameters derived from the contour of the hand. Automatic biometric identification system by hand geometry. Y. Bulatov, S. Jambawalikar, P. Kumar, and S. Sethia. Hand biometrics is extensively used for personal authentication. Personal identification utilizing finger surface features. [3] R. Veldhuis, A. Bazen, W. Booij, A. Hendrikse, Hand-geometry recognition based on contour landmarks, From Data and Information Analysis to Knowledge Engi- Ninety-six measurements are then extracted and a 9 byte template is derived, making it the smallest in the biometric industry. The oldest hand geometry technique was based on the length of fingers and the thickness and curvature of the webbing between them. The usefulness of the proposed feature set is evaluated experimentally in a verification context. A privacy protection analysis should refer to the process used to select the hand geometry modality to inform the participants (the individual and the organization) of the actual capabilities and limitations of the biometric technology and the correlating level of reliance that should be placed on the resulting matches made by the system. There is no technical knowledge required for the operation of system. N2 - This paper demonstrates the feasibility of a new method of hand-geometry recognition based on parameters derived from the contour of the hand. AB - This paper demonstrates the feasibility of a new method of hand-geometry recognition based on parameters derived from the contour of the hand. AU - Veldhuis, Raymond N.J. keywords = "EWI-711, METIS-248071, SCS-Safety". G. Boreki and A. Zimmer. Download preview PDF. The verification performance obtained with contour-based features is compared with the verification performance of other methods described in the literature. BT - SPIE Biometric Technology for Human Identification II, PB - SPIE - The International Society for Optical Engineering. The set of features considered in this paper consists of the spatial coordinates of certain landmarks on the contour. 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.