Process for automatic image recognition

Image analysis – Histogram processing – For setting a threshold

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382 56, G06K 950

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045450676

ABSTRACT:
A process for the automatic recognition of an image (I) on the basis of a corresponding reference image, including obtaining, by optoelectronic detection means (C), signals representing both the image to be recognized and the reference image, digitizing (in CAN) and recording the respective signals in a memory (M), using a processing unit (UT) to determine the coordinates of respective characteristic contour lines in the image to be recognized and the reference image, segmenting the respective contour lines and coding the segments (Si), attributing to each segment a pair of values (.rho..sub.i, .theta..sub.i) relating to its length (.rho..sub.i) and its angle (.theta..sub.i) compared with a reference direction, and comparing the respective pairs of values while seeking coincidence between the large segments of the contour to be recognized and the reference contour. The process has application to the recognition of shapes, particularly in robotics.

REFERENCES:
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patent: 3609685 (1971-09-01), Deutsch
patent: 4375654 (1983-03-01), Evans et al.
Pattern Recognition, vol. 13, No. 3 (1981), K. Ikeda et al., "On-Line Recognition of Hand-Written Characters Utilizing Positional and Stroke Vector Sequences," pp. 191-206.
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The Post Office Electrical Engineers Journal, vol. 60, No. 2 (Jul. 1967), E. S. Deutsch, "Computer Simulation of a Character-Recognition Machine, Part 2-Information Recoding and Character Recognition," pp. 104-109.
IBM Technical Disclosure Bulletin, vol. 11, No. 10 (Mar. 1969), M. F. Levy, "Data Comparing Method," p. 1331.
Proceedings of the National Electronics Conference, vol. 18 (1962), H. Freeman, "On the Digital Computer Classification of Geometric Line Patterns," pp. 312-320.

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