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Pattern recognition, image processing and computer vision in fifth generation computer systems

  • Fifth Generation Computer Systems
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Abstract

It is well-known that one of the goals of research for the last two decades or so in pattern recognition and its sub-areas, such as processing, analysis and understanding of image, speech and natural language, and computer vision techniques etc., has always been to develop fundamental techniques for flexible interactive intelligent man-machine interfaces for computers. In this paper, the author tries to argue that for the evolution of fifth generation computer systems (FGCS) as defined by Japanese scientists, some of the things required are realisation and implementation of the advances in pattern recognition and its sub-areas, not only to achieve the man-machine interface with a natural mode of communication, but also for the realisation of the basic mechanisms of inference, association and learning, which are inherent both in pattern recognition and in the core functions of FGCS. The next generation computers will be knowledge-based systems, which form a subdomain of artificial intelligence (a1) techniques, and soa1 provides the essential link between pattern recognition domains and different application systems. No attempt is made to discuss other essential conceptual building blocks, such as software engineering, computer architecture and very large scale integration technology unless these become very relevant in the discussions of concerned topics of the paper. A section on limitations of perception, learning and knowledge for computing machines is also included.

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References

  • Ahmed I, Fung K T 1981Computer science (Potomac, Md: Computer Science Press)

    Google Scholar 

  • Allen J 1983vlsi overall system design, FGCS state-of-the-art report, Pergamon Infotech Rep.

  • Anon 1984 Spatial reasoning Tech. Rep. CAR-TR-28, University of Maryland, USA

  • Arbib M A 1964Brains, machines and mathematics (New York: McGraw Hill)

    Google Scholar 

  • Barnard S T 1981Proc. IEEE 69: 572–595

    Google Scholar 

  • Birk J, Kelley R, Martins H 1981IEEE Trans. Syst., Man Cybern. 11: 151–160

    Article  Google Scholar 

  • Birk J, Kelley R, Wilson L 1978Proc. 8th Int. Symp. on Ind. Robots, Stuttgart, West Germany (New York: Robot Inst. Am.) pp. 724–733

    Google Scholar 

  • Bribiesca E, Guzman A 1980Pattern Recognition 12: 101–112

    Article  Google Scholar 

  • Chanda B, Chaudhury B B, Dutta Majumder D 1984IEEE Trans. Syst., Man Cybern. 14: 515–518

    Google Scholar 

  • Chanda B, Dutta Majumder D 1985aInst. J. Syst. Sci. 16: 71–80

    Article  MATH  Google Scholar 

  • Chanda B, Dutta Majumder D 1985bPattern Recognition Lett. 3: 243–251

    Article  Google Scholar 

  • Duda R O, Hart P E 1973Pattern classification and scene analysis (New York: John Wiley & Sons)

    MATH  Google Scholar 

  • Dutta Majumder D 1979Kybernetik 8: 7–15

    Google Scholar 

  • Dutta Majumder D 1983J. Inst. Electron. Telecommun. Eng. 29: 429–449

    Google Scholar 

  • Dutta Majumder D (ed.) 1984Pattern recognition and digital techniques (Calcutta: Indian Stat. Inst.) pp. 499–529

    Google Scholar 

  • Dutta Majumder D 1985 Pattern recognition and artificial intelligence techniques in intelligent robotic systems, Proc. First National Convention of Prod. Eng. Div of Inst. of Engineers, Calcutta, August

  • Dutta Majumder D, Chaudhuri B B 1980Int. J. Syst. Sci. 11: 1433–1445

    MathSciNet  Google Scholar 

  • Dutta Majumder D, Datta K 1968Indian J. Phys. 42: 425–443

    Google Scholar 

  • Dutta Majumder D, Pal S K 1985Fuzzy mathematical approach to pattern recognition (New Delhi: Wiley Eastern)

    Google Scholar 

  • Eddington A 1939The philosophy of physical sciences (Cambridge: University Press)

    Google Scholar 

  • Falk G 1972Artif. Intell. 3: 101–144

    Article  MATH  Google Scholar 

  • Fatmi H 1984A theory of processing intelligent messages (London: University Press)

    Google Scholar 

  • Faux I D, Batt M J 1979Computational geometry for design and manufacture (Chichester: Ellis Horwood)

    MATH  Google Scholar 

  • Fu K S 1968Sequential methods in pattern recognition and machine learning (New York: Academic Press)

    MATH  Google Scholar 

  • Fu K S 1982Syntactic pattern recognition and applications (Englewood Cliffs, NJ: Prentice Hall)

    MATH  Google Scholar 

  • Fukunaga K 1972Introduction to statistical pattern recognition (New York: Academic Press)

    Google Scholar 

  • Gabor D, Wilby W P L, Woodcock R 1961Proc. Inst. Elec. Eng. B108: 422–438

    Google Scholar 

  • Godel K 1931On formally decidable propositions of principia mathematica and related systems (Transl.). B Meltzer (New York: Basic Books Inc)

    Google Scholar 

  • Goldstein H H 1972The computer from Pascal to Von Neumann (Princeton: University Press)

    Google Scholar 

  • Haralick R M, Shanmugan K, Dinstein I 1973IEEE Trans. Syst., Man Cybern. 3: 610–621

    Article  Google Scholar 

  • Haton J P 1982aProc. 6th Int. Conf. Pattern Recognition, Munich, October (Washington, DC: IEEE Computer Society)

    Google Scholar 

  • Haton J P (ed.) 1982bAutomatic speech analysis and recognition (Dordrecht: D Reidel)

    Google Scholar 

  • Lea W A 1980Trends in speech recognition (Englewood Cliffs, NJ: Prentice Hall)

    Google Scholar 

  • Levine M D, Shaheen S I 1981IEEE Trans. Pattern Anal. Mach. Intell. 3: 540–556

    Google Scholar 

  • Libermann A M 1970Cognit. Psychol. 1: 301–323

    Article  Google Scholar 

  • Moto-Oka T, Tanaka H, Hirata K, Maruyama T 1981Proc. Int. Conf. on FGCS, Tokyo, October (Amsterdam: North Holland)

    Google Scholar 

  • Nagel E, Newman J R 1958Godel’s proof (New York: University Press)

    Google Scholar 

  • Newman W M, Sproull R F 1973Principles of interactive computer graphics (New York: McGraw Hill)

    MATH  Google Scholar 

  • Parui S K, Chaudhuri B B, Dutta Majumder D 1980J. Inst. Electron. Telecommun. Eng. 26: 21–28

    Google Scholar 

  • Parui S K, Dutta Majumder D 1982aPattern Recognition lett. 1: 129–134

    Article  Google Scholar 

  • Parui S K, Dutta Majumder D 1982b How to quantify shape distance for 2-D regions, Proc. 7th Int. Conf. on Pattern Recognition, Montreal, pp. 72–74

  • Parui S K, Dutta Majumder D 1983aPattern Recognition 1: 129–134

    Article  MATH  Google Scholar 

  • Parui S K, Dutta Majumder D 1983bPattern Recognition 16: 63–67

    Article  Google Scholar 

  • Prat W K 1978Digital image processing (New York: Wiley Interscience)

    Google Scholar 

  • Rosenfeld A, Kak A C 1976Digital picture processing (New York: Academic Press)

    Google Scholar 

  • Turing A M 1937Proc. Lond. Math. Soc., Second Ser. 42: 230–265

    Article  Google Scholar 

  • Underwood M J 1983 Intelligent user interfaces, Pergamon Infotech Report.

  • Vamos T, Bathor M 1980Proc. 5th Int. Joint Conf. Pattern Recognition (Los Alamitos, CA: IEEE Computer Society)

    Google Scholar 

Download references

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Authors and Affiliations

  1. Electronics & Communication Sciences Unit, Indian Statistical Institute, 700 035, Calcutta, India

    D Dutta Majumder

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  1. D Dutta Majumder
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Additional information

This work was funded by the Knowledge-based Computer Systems Project of the Department of Electronics, Government of India.

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Dutta Majumder, D. Pattern recognition, image processing and computer vision in fifth generation computer systems. Sadhana 9, 139–156 (1986). https://doi.org/10.1007/BF02747523

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