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1997 | nr 766 Zastosowanie rozwiązań informatycznych w bankowości | 231-242
Tytuł artykułu

Technologie biometryczne w informatyce bankowej

Warianty tytułu
Języki publikacji
PL
Abstrakty
Artykuł opisuje najczęściej stosowane technologie biometryczne. Głównym założeniem jest zaprezentowanie najważniejszych kierunków rozwoju nowoczesnych, używanych w praktyce TB. Rozpatrywane też będą praktyczne zastosowania tych technik i proponowane rozwiązania problemów TB. (fragment tekstu)
Twórcy
autor
  • Politechnika Szczecińska
autor
  • Politechnika Szczecińska
  • Politechnika Szczecińska
  • Politechnika Szczecińska
  • IEE C3 Committee North Berwick, Wielka Brytania
autor
  • Biometric Digest, St. Louis, Missouri, USA
Bibliografia
  • Ammar M.: Progress in Verification of Skillfully Simulated Handwritten Signatures, Pattern Recognition and Artificial Intelligence, vol. 5, 1993, pp. 337-351.
  • Absaloms H., Tomikawa T.: A Study of Human Eyes' Detection by Window-pair Chasing, Trans. Inst. Electr. Eng. (Japan), vol. 116 - C, no. 9, 1966, pp. 1015-1028.
  • American National Standards, Fingerprint Identification - Data Format for Information Interchange, N.Y., 1986.
  • Biometric Digest™ (USA), Ed. William Rogers, 1996/1997.
  • Carlson J.J., and others, Fusion of Multiple, Coarse Features from the Face, Hand and Voice for Realable Human Identity Determination. Proc. SPIE (USA), vol.2755,1996, pp.283-293.
  • Chapel C.E.: Fingerprint - A Manual of Identification. N.Y., Coward McCann, 1971.
  • Clergeau-Toumemire Stephanie, and Plamondon Rejean, Integration of Lexical and Syntactical Knowledge in a Handwriting-Recognition System, Mashine Vision and Applications, Springer- Verlag, 8, 1995, pp.249-259.
  • Cui Y., Weng J.J.: Hand Sign Recognition from Intensity Image Sequences with Complex Backgrounds, Proc. of the 2nd int. Conf. on Automatic Face and Gesture recognition, Killng- ton, USA, 1996, pp.259-264.
  • Ezzat T., Poggio T.: Facial Analysis and Synthesis using Image-Based Models, Proc.of the the 2nd Int. Conf. on Automatic Face and Gesture Recognition, Killngton, VT, USA, 1996, pp.116-121.
  • Foltyniewicz R.: Automatic Face Recognition via Wavelets and Mathematical Morphology, Proc. of the 13th Int. Conf. on Pattem Recognition, vol.2,1966, pp.13-17.
  • Halici U., Ongun G.: Fingerprint Classification Through Self-Organizing Feature Maps Modified to Treat Uncertainties, Proc. IEEE (USA), vol.84, no.10,1996, pp.1497-1512.
  • Herpers R., and others, Context Based Detection of Keypoints and Features in Eye Regions, Proc. of the 13th Int. Conf. on Pattern Recognition, vol.2,1966, pp.23-28.
  • Huang Kai, Yan Hong.: Off-Line Signature Verification by a Neural Network Classifier, Proc. of the 17th Australian Conf. on Neural Networks, Canberra, 1966, pp. 190-194.
  • Lee L.L., Berger T., Aviczer E.: Reliable On-Line Human Signature Verification Systems, IEEE Trans, on Pattem Analysis and Machine Intelligence (USA), vol,18,no.6,1996, pp.643-647.
  • Maio D., Maltoni D.: Direct Gray-Scale Minutiae Detection in Fingerprints, ШEE Trans, on Pattern Analysis and Mashine Intelligence, vol. 19, no. 1,1997, pp.27-40.
  • Mechtre B.M.: Fingerprint Image Analysis for Automatic Identification, Mashme Vision and Applications, vol.6, no.2-3, 1993, pp.124-139.
  • Morgenshtein I.: Psycho graphology, St.Petersburg, Publishing House by Vejerman, 1903 щ Russian).
  • Penagos J.D., Prabhakaran N., Wurmava S.V.: An Efficient Scheme for Dynamic Signature Verification, IEEE SOUTHEASTCON'96, Tampa, FL, USA, 1996, pp.451-457.
  • Plamondon R., Lorette G.: Automatic Signature Verification and Writer Identification -The State of the Art, Pattern Recognition, 1989, vol.22, no.2, pp. 107-131.
  • Polonnikov R., Korotkov K. (Eds.): Biometric Informatics and Eniology, St. Petersburg, 'Olga'Publishing House, 1995 (In Russian).
  • Saborian R., Genest G., Preteux F.: Pattern Spectrum as a Local Shape for Off-Line Signature Verification, Proc. of the 13th Int. Conf. on Pattern Recognition, vol.3,1966, pp. 43-48.
  • Shmerko V., Yanushkevich S. (Eds.): Banking Information Systems, Technical University of Szczecin, Poland, 1997.
  • Shmerko V.: Experience of Designing and Using Signature and Handwriting Person Identification Systems, The BCS Computer Security Specialist Group Annual Conference 9-10th March, London, UK, 1995, British Computer Society, London UK.
  • Shmerko V., Kochergov E., Mikhaylenko S., and others, Systems for Personal Identification using Methods of Signature and Handwriting Verification. Proc. of the 3-rd Int. Conf. on Pattern Recognition and Information Analysis (S. Ablameyko Ed.), Minsk, Belarus, vol. 3, 1995. pp. 25-35.
  • Tee E.R., and Selvanathan N., Enahancing the Personal Identification Number Input as a Means of Identification Signature. Malaysian J.Comput. Sci. (Malaysia), vol.9, no.l, 1996, pp. 37-41.
  • Xuhua Yang, and others, Selection of Features for Signature Verification Using the Genetic Algorithm, Comp. Ind.Eng. (UK), vol.30, no. 4,1996, pp.1037-1045.
  • Yaser Yacoob, Larry S. Davis.: Recognition Human Facial Expressions from Long Image Sequences Using Optical Flow. IEEE Trans, on Pattern Analysis and Machine Intelligence, vol.18, no.6,1996, pp.636-642.
  • Yokoo Y., Hagiwara M.: Human Faces Detection Method Using Genetic Algorithm, Proc. of 1966 IEEE Int. Conf. on Evolutionary Computation (Japan), 1996, pp. 113-118.
  • Zhou R.W., Quck C.: An Automatic Fuzzy Neural Network Driven Signature Verification System, The IEEE Int. Conf. on Neural Networks, Washngton, USA, vol.2,1996, pp. 1034-1039.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171187485
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