Non-iterative method of calculating image skew
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 i...
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Format | Patent |
Language | English |
Published |
28.11.2006
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Online Access | Get full text |
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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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AbstractList | 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. |
Author | Notovitz, William Schweid, Stuart Alan |
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References | Schweid (6985640) 20060100 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. Kita (5027227) 19910600 Masui (5373371) 19941200 Ishitani (5506918) 19960400 Bloomberg et al. (5187753) 19930200 Postl (4723297) 19880200 Kling, III et al. (5335420) 19940800 Cullen et al. (5452374) 19950900 Cusick et al. (5199101) 19930300 Kelly et al. (5528387) 19960600 Baird (5001766) 19910300 Katsurada et al. (5359677) 19941000 |
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