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ICFHR 2012 panel discussion 18-09-2012 | 1 The future of handwriting recognition Lambert Schomaker chair Introductory slides for the panel session at the International Conference on Frontiers in Handwriting Recognition, Bari, 18-9-2012.


  1. ICFHR 2012 – panel discussion 18-09-2012 | 1 The future of handwriting recognition Lambert Schomaker – chair Introductory slides for the panel session at the International Conference on Frontiers in Handwriting Recognition, Bari, 18-9-2012. Post-hoc annotated.

  2. ICFHR 2012 – panel discussion 18-09-2012 | 2 Handwriting › An acquired skill › For persistent storage of information; • Directed at other persons; • Directed at self; › Exploiting the biomechanical versatility of the writing hand; › Exploiting the fact that the brain has reserved many neurons to the hand system.

  3. ICFHR 2012 – panel discussion 18-09-2012 | 3 Cortical regions devoted to movement Hand area After the classical figure by: Penfield, W. & Rasmussen, T. (1950). The Cerebral Cortex of Man . Macmillan, New York.

  4. ICFHR 2012 – panel discussion 18-09-2012 | 4 Writing … and drawing skills i.e., many bits !!

  5. ICFHR 2012 – panel discussion 18-09-2012 | 5 Therefore: › It would not be wise to neglect the existing advantage of a high-resolution positional control system, with a high signal to noise ratio: › The Writing/Drawing Hand

  6. ICFHR 2012 – panel discussion 18-09-2012 | 6 Trends › We write less and less › We swipe more and more on tablets › But stylus-based systems keep coming › And historical documents are not walking away › The need for accurate interactive input increases on small devices

  7. ICFHR 2012 – panel discussion 18-09-2012 | 7 Issue 1. Science › Is anything fundamentally solved yet? › Are we guilty of ‘experimental programming’ ? (Edsger Dijkstra) › Is the base literature actually read? › Do you know how digitizers and CCDs work? › Linear pipeline factory vs dynamic constraint satisfaction (read: existing insights are not used )

  8. ICFHR 2012 – panel discussion 18-09-2012 | 8 Issue 2. Image processing › Foreground / background separation solved? › Why do we need that anyway? › Who uses color features? › Layout modeling solved?

  9. ICFHR 2012 – panel discussion 18-09-2012 | 9 Issue 3. The overfit i=1; while(true) { pick_one_book(number=i, style==S,language==L); hire_one_PhD(); wait_four_years();  95% accuracy; ++i; • no generalization in sight? } • highly particular slave labor ?

  10. ICFHR 2012 – panel discussion 18-09-2012 | 10 Issue 4. Writer identification › Is getting better and better, forensic and paleographic › But the users want likelihood ratios › Do you trust your LR? › What is the reference population?

  11. ICFHR 2012 – panel discussion 18-09-2012 | 11 Issue 5. Language modeling › Corpora are contemporary texts, newspapers, novels › How to bootstrap language models for ‘new’ script styles or old manuscripts? › How can the system know the applicable corpus model?

  12. ICFHR 2012 – panel discussion 18-09-2012 | 12 Issue 6. Databases › - galore! › Multilingual script styles, periods etc. › How to use them in a meaningful way? › Can we mix them without problem? › Benchmark organization

  13. ICFHR 2012 – panel discussion 18-09-2012 | 13 Issue 7: Industry and hardware › Wright brothers: 1 st motorized flight 1903 › War employment of airplanes 1914-1918 › 1920 ies – wordwide airplane manufacturing and airlines starting to operate (KLM, 1920) › HWR: 1966 – uppercase recognition for FORTRAN code sheets › 2012 ? Where is our industry, apart from postal automation?

  14. ICFHR 2012 – panel discussion 18-09-2012 | 14 Groner, G.F. (1966) "Real-Time Recognition of Handprinted Text", Memorandum RM-5016-ARPA, The Rand Corporation, October 1966. Handwriting recognition on RAND tablet: curvature feature, corner detection, endpoints, height, width, center, aspect ratio, position relative to writing baseline (on screen) Segmentation in handwriting by X overlap, centers, spatial separation Performance: 20 minutes user practice, information training: 82% to 92%, 81% to 93%, 90% to 96% , depending on user training/familiarity User-interface for handwriting recognition/editing of FORTRAN coding forms 53 symbols , Sampling tablet at 250 Hz . Multiple stroke characters were order free

  15. ICFHR 2012 – panel discussion 18-09-2012 | 15 Hardware? Newton, Crosspad, Tablet-PC Apple iPad (?), Samsung Galaxy Note 10.1 will new devices be good enough?

  16. ICFHR 2012 – panel discussion 18-09-2012 | 16 Issues 1. Science 2. Image processing 3. Writer identification 4. Language modeling 5. Databases 6. Industry & hardware

  17. ICFHR 2012 – panel discussion 18-09-2012 | 17 The panel › Prof. dr. C.Y. Suen › Prof. dr. B.B. Chaudhuri › Prof. dr. R. Plamondon › Prof. dr. S. Impedovo › Prof. dr. S. Srihari › Dr. Volker Märgner › Dr. M. Liwicki

  18. ICFHR 2012 – panel discussion 18-09-2012 | 18 (discussion) › The public selected the item “language modeling” › The panel selected the item “science” › Most elucidating outcome: • Few, if none of the participants was willing to claim that linguistic modeling helped more than a few percentage points • With the exception of address reading, but even there, problems exist. LS. October 2012.

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