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Stroke Extraction Offline handwriting recognition Noise, faint - PowerPoint PPT Presentation

Stroke Extraction Offline handwriting recognition Noise, faint strokes, and gaps Related Work Skeletonization Local Search Graph Search Intelligent Scissors Least-cost search of an image to find an edge Weighted


  1. Stroke Extraction Offline handwriting ● recognition ● Noise, faint strokes, and gaps

  2. Related Work ● Skeletonization ● Local Search ● Graph Search

  3. Intelligent Scissors ● Least-cost search of an image to find an edge Weighted sum of several gradient ● features ● Optimal path from seed point to every other point in the image

  4. Intelligent Pen - Kevin Bauer ● Like Intelligent Scissors but without user interaction Multiple expanding wavefronts ● Creates new seeds on the fly as ● it builds out

  5. Intelligent Pen

  6. Finite Differences Wavefront 50 100 10 ● Think “edge detection on trees” ● Find the difference between the 50 150 100 wavefront counts for two nodes 160 Keep track of largest difference ● 0 ● Threshold on differences 160 0 160

  7. Path Cooling / New Seed ● Large wavefront are slow and error prone ● Instead, smaller wavefront ● Create new seeds at end points

  8. Future Work - Include Direction

  9. Thank You

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