Non-iterative method of calculating image skew

Image analysis – Image transformation or preprocessing – Measuring image properties

Reexamination Certificate

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Details

C382S282000, C382S284000, C358S538000, C358S540000

Reexamination Certificate

active

07142727

ABSTRACT:
A parallel, non-iterative, memory efficient method of determining image skew. A document skew angle is determined from a fast scan second order moment data set and a slow scan second order moment data set. A slow scan second order moment data set can be generated by receiving a current scanline of image data, updating columns sums for a set of rotation angles using scanlines within a buffer comprising a band having a predetermined number B of scanlines, and updating the buffer with the current scanline. A fast scan second order moment data set is generated by projecting a plurality of pixels within each scanline of image data received to a first rotation angle wherein the plurality pixels project onto M rows; updating M memory locations, wherein each one of the M memory locations corresponds to one of the M rows and wherein each memory location is updated using pixels projecting onto the corresponding row whereby one of the M memory locations contains a completed row; and adding the square of the completed row sum to a moment accumulator.

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Dan S. Bloomberg, Gary E. Kopec and Lakshmi Dasari, “Measuring Document Image Skew and Orientation”, SPIE Symposium in Document Recognition II 1995.
Henry S. Baird, “Accurate Skew Estimation and the Top-Down Analysis of Document Images”, Dec. 12, 1986.

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