Method for character-and/or-object recognition
First Claim
1. A method for recognizing objects, comprising the steps of:
- (a) opto-electronically reading the objects;
(b) digitizing the read signals to generate a binary image of the objects;
(c) comparing the objects with a first binary comparison plane formed of known stored reference raster images of objects;
(d) determining a first correlation value and comparing with a predetermined threshold value;
(e) selecting the reference raster images where the first correlation value exceeds the threshold value to identify the read actual objects;
(f) if the correlation value in step (d) is below the threshold value, comparing the read objects with a second binary comparison plane formed of stored reference raster images of characteristic parts of the reference objects;
(g) determining a second correlation value and combining with the first correlation value and comparing the resulting combined correlation value with the predetermined threshold value;
(h) selecting the reference raster images where the combined correlation value exceeds the threshold value to identify the read actual objects;
(i) if the combined correlation value in step (g) is below the threshold value, comparing the read objects with at least one further binary comparison plane formed of stored reference raster images of other characteristic parts of the reference objects;
(j) determining at least one further correlation value and combining with the first and second correlation values and comparing the resulting combined correlation value with the predetermined threshold value; and
(k) selecting the reference raster images where the combined correlation value from step (j) exceeds the threshold value to identify the read actual objects.
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Abstract
Unknown characters and objects are read opto-electronically and the read signals are digitized to generate a binary image of the characters and objects, said image being compared with binary reference images of known reference characters and reference objects stored in reference memories, the reference raster image(s) with the highest coincidence with the read characters or objects being selected to identify the read-in characters or objects. The stored binary reference images form a first binary comparison plane. At least one more binary comparison plane is provided, which consists of stored reference raster images generated by the binary imaging of characteristics or of characteristics parts of the known characters and objects. The actual character or object image read-in in binary manner is compared with at least one reference raster image of a further comparison plane for coincidence if the comparison with the reference raster image of the first comparison plane, or of the first comparison plane combined with a further comparison plane, results in a degree of coincidence below a predetermined threshold.
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Citations
14 Claims
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1. A method for recognizing objects, comprising the steps of:
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(a) opto-electronically reading the objects; (b) digitizing the read signals to generate a binary image of the objects; (c) comparing the objects with a first binary comparison plane formed of known stored reference raster images of objects; (d) determining a first correlation value and comparing with a predetermined threshold value; (e) selecting the reference raster images where the first correlation value exceeds the threshold value to identify the read actual objects; (f) if the correlation value in step (d) is below the threshold value, comparing the read objects with a second binary comparison plane formed of stored reference raster images of characteristic parts of the reference objects; (g) determining a second correlation value and combining with the first correlation value and comparing the resulting combined correlation value with the predetermined threshold value; (h) selecting the reference raster images where the combined correlation value exceeds the threshold value to identify the read actual objects; (i) if the combined correlation value in step (g) is below the threshold value, comparing the read objects with at least one further binary comparison plane formed of stored reference raster images of other characteristic parts of the reference objects; (j) determining at least one further correlation value and combining with the first and second correlation values and comparing the resulting combined correlation value with the predetermined threshold value; and (k) selecting the reference raster images where the combined correlation value from step (j) exceeds the threshold value to identify the read actual objects. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification