Image analysis – Pattern recognition
Reexamination Certificate
1998-03-20
2001-02-06
Mehta, Bhavesh (Department: 2721)
Image analysis
Pattern recognition
C382S224000, C706S001000
Reexamination Certificate
active
06185331
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates to fuzzy processors, and more particularly, to a switched-current fuzzy processor for pattern recognition which is specifically designed to operate in current mode for high performance.
2. Description of Related Art
A fuzzy processor is a logic processing means which processes logic signals based on conditional rather than absolute true or false states. The results obtained from a fuzzy processor are less definite than those obtained with strict classical logic, but fuzzy logic applies to a wide range of cases, such as pattern recognition.
Most conventional fuzzy processors are based on a MIN-MAX operation. For applications in pattern recognition, the MIN-MAX operation is considered unsatisfactory. Other fuzzy processors are based on digital circuitry which is complex in structure. A type of fuzzy processor, called switched-voltage fuzzy processor, utilizes transistor switching elements to implement the fuzzy logic for pattern recognition. This type of fuzzy processor, however, has the drawbacks of requiring a large layout area to implement, a low operating speed, and a complex circuit structure to implement.
SUMMARY OF THE INVENTION
It is therefore an objective of the present invention to provide a switched-current fuzzy processor for pattern recognition, which is specifically designed to operate in current mode without the need to use current-to-voltage converting means for the benefits of simplified structural complexity and high precision and performance in computation.
It is another an objective of the present invention to provide a switched-current fuzzy processor for pattern recognition, which utilizes a weighted summing operation with a variably adjustable weight factor so the switched-current fuzzy processor can be adapatively modified for application in a wide range of cases.
It is still another objective of the present invention to provide a switched-current fuzzy processor for pattern recognition which is fully compliant with the standard complementary metal oxide semicondutor (CMOS) technology for modular integration with very large scale integration (VLSI) integrated circuits.
It is yet another objective of the present invention to provide a switched-current fuzzy processor for pattern recognition, which is designed in a module that allows it to be easily expanded in functionality.
In accordance with the foregoing and other objectives of the present invention, a switched-current fuzzy processor for pattern recognition is devised. The switched-current fuzzy processor of the invention includes the following constituent elements:
(a) means for decoding a feature input into a set of binary feature signals;
(b) an array of membership function generators (MFGs), coupled to the decoding means, for obtaining a set of current outputs whose magnitudes are proportional to the values of the feature signals respectively;
(c) weight-adjusting means, coupled to the MFG array, for applying a predetermined weight factor in binary form to the output currents from the MFG array;
(d) summing means, coupled to the weight-adjusting means, for summing up each set of currents from each column of the MFGs in the MFG array to thereby obtain a total value for the currents therefrom; and
(e) a maximum-value determination circuit, coupled to the summing means, capable of obtaining the choosing of the current with the maximum magnitude from the summing means.
The foregoing disclosed switched-current fuzzy processor of the invention features that the circuits in the simulation unit (i.e., the MFG array, the weight-adjusting means, the summing means, and the maximum-value determination circuit) all being based on the switched-current mode of operation without the need to use current-to-voltage conversion means, thus allowing the switched-current fuzzy processor to have simplified circuit structure and high precision in signal processing with high performance. Moreover, the provision of the weight-adjusting and summing means in the switched-current fuzzy processor of the invention in place of the MIN-MAX means in the prior art allows the fuzzy processor of the invention can adjust weight in a simple manner.
REFERENCES:
patent: 4644325 (1987-02-01), Miller
patent: 5544279 (1996-08-01), Li et al.
patent: 5802204 (1998-09-01), Basehore
Lin Gu
Shi Bingxue
Mehta Bhavesh
United Microelectronics Corp.
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