Recognition of handprinted Hebrew characters using features selected in the Hough transform space

Kushnir, Moshe; Abe, Keiichi; Matsumoto, Kinji

doi:10.1016/0031-3203(85)90033-0

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1988

2014

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Cited by 30 publications

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“…Its applications include vehicle guidance [3], gauge inspection [4], detection of seismic patterns [5], recognition of hand printed Hebrew characters [6], automated SEM inspection of VLSI resist [7], etc. Many fast and efficient parallel algorithms and architeetures have been developed to detect straight lines using the Hough Transform.…”

Section: Introductionmentioning

confidence: 99%

Invariant pattern recognition algorithm using the Hough Transform

Li¹

2000

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A new algorithm is proposed which uses the Hough Transform to recognize two dimensional objects independent of their orientations, sizes and locations. The binary image of an object is represented by a set of straight lines. Features of the straight lines, namely the lengths and the angles of their normals, their lengths and the end point 2 positions are extracted using the Hough Transform. A data structure for the extracted lines is constructed so that it is efficient to match the features of the lines of one object to those of another object, and determine if one object is a rotated and/or scaled version of the other. Finally a generalized Hough Transform is used to match the end points of the two sets of lines. The simulation experiments show good results for objects with significant linear features .

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