The speaker will provide an overview of document recognition technologies including optical character recognition (OCR), intelligent character recognition (ICR), optical mark recognition (OMR), and intelligent document recognition (IDR). They will discuss the major technology providers such as Nuance, ABBYY, Océ, and ReadI.R.I.S. and how consolidation in the industry has occurred through acquisitions. The future of document recognition is discussed as moving towards full-page OCR as a commodity, more advanced document processing, and document classification becoming a major focus area and product solution.

1. Document Recognition a technology overview Presented by: Chris Riley

2. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them News Flash The Future Q & A

3. Why Chris? Professional Experience LivingAnalytics, Inc. Artsyl Technologies, Inc. Visioneer, Inc. ABBYY IntelliKey Solutions, Inc. Regis University Deep Study in Genetic Algorithms and Real-Time Analytics What qualifies Chris to talk to me? Subject Matter Expert for: AIIM, TAWPI, DIR, Business Solution Mag. Obtained Distinguished Services Award for Market Education When a developer turns to sales and marketing

4. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them News Flash The Future Q & A

5. The Technologies OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing

6. The Technologies: OCR OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Ship To:

7. The Technologies: ICR OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Ilya

8. The Technologies: OMR OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Card Account

9. The Technologies: IDR OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Check Invoice Bill of Lading EOB

10. The Technologies: Barcode OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing 1889094476620

11. The Technologies: Handwriting OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing * Critical *

12. The Technologies: Acronym Heaven OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing

13. The Technologies: CAR/LAR OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing 2 hundred dollars & no cents

14. The Technologies: Assisted Capture OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing

15. The Technologies: Fixed Form Processing OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Name: Ilya Date: 12/21/2982

16. The Technologies: Fixed Form Processing Name: Ilya Date: 12/21/2982

17. The Technologies: Semi-Structured Forms OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing – Complexity is Underestimated Unstructured Document Processing Invoice No: 99044 Date: 06/09/04 Invoice No: 24567 Date: 06/09/04

18. Invoice No: 99044 Date: 06/09/04 Invoice No: 24567 Date: 06/09/04 (06/09/2004) The Technologies: Semi-Structured Forms Note, many people confuse these documents as fixed

19. The Technologies: Semi-Structured Forms OCR – Optical Character Recognition ICR – Intelligent Character Recognition OMR – Optical Mark Recognition IDR – Intelligent Document Recognition Barcode Handwriting All the other ones made up for marketing purposes CAR/LAR ( Check21 ) – Courtesy and Legal Amount Recognition Assisted Capture Fixed Form Process Semi-Structured Forms Processing Unstructured Document Processing Consignee Consignor Date Term

20. The Technologies: Common Processes Full page conversion Classification Index level extraction Redaction Routing Auto Filing Re-Purposing Image Rotation

21. The Technologies: Full page conversion Image file to electronic data file ALL text on the page Includes: Image Pre-processing Document Analysis/Zoning Extraction Export ( Commonly PDF, DOC )

22. The Technologies: Classification Software tells you the document type Several Modes of document classification Image Based Contextual Scan batches of mixed documents Bill of Lading Invoice Check PO

23. The Technologies: Index Level Extraction Just certain required fields extracted Normalization of data Export usually to a database Invoice Number Invoice Date Total Amt Due Term

24. The Technologies: How Accurate Better question is how do you determine accuracy Document Type Accuracy Field/Zone Location Accuracy Data Type Accuracy Character Accuracy

25. The Technologies: Document Complexities By Data Capture Complexity – Hardest to Easiest EOB – Marginal success BancTec HOV ECS Student Transcriptions – no success, no money Invoices ( not a vertical ) Telecom Bills Legal Invoices Aggregate Invoices Traditional Invoice Checks Bill of Lading Prescriptions and Transportation Documents HCFA UB Fax Cover Sheets Other typographic Fixed Forms

26. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them News Flash The Future Q & A

27. There Really are only 4 core technology providers It takes 50 man-years to develop OCR using traditional approach

28. Who Makes Them: Core Engines Traditional OCR Approach ( sorted by market share ) – All European Engines Nuance ( formally ScanSoft ) derivative of Care Engine Middle of the road cost, accuracy, speed ABBYY Most accurate, slowest, most expensive Oc é Very fast, moderately expensive ReadI.R.I.S Fastest, not very accurate Specialized Engines CharacTell ParaScript A2iA Mitek None Traditional Approach NovoDynamics TIS Paledon Other Handful of Open Source, Tesseract, Octopus Two handfuls of OLD engines, Expervision, Care

29. Who Makes Them: History Ray Kurzweil father of OCR – 1974 Arguably In University for some time Caere Founded - 1976 Ray sells his Engine to Xerox PAC becomes TextBridge – 1978 ReadI.R.I.S formed by Belgium grant – 1981 Tesseract Created by HP research – 1985 Expervision Founded - 1987 UNLV becomes standards organization for OCR ABBY Founded - 1989 Russian MIT Equivalent MIPT Moscow Institute of Physics and Technology Luc Vincent Invents Document Analysis ( now at Google, lead on Tesseract project ) - 1994 ScanSoft Splits from Xerox 1998 ScanSoft acquires Caere - 2000 ScanSoft Becomes Nuance – 2005 OCR Business Takes Backseat

30. Who Makes Them: Who Licenses Them EVERYONE ELSE! AnaComp Anydoc BancTec BrainWare Captaris Captivation Cardiff CVision DataCap DigiTech eCopy EMC Documentum Kofax LaserFiche LeadTools Microsoft NSi AutoStore OnBase Perceptive Imaging ReadSoft SER Top Image Systems Tower Westbrook Xerox Etc.

31. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them News Flash The Future Q & A

32. News Flash Purchase Consolidation OpenText bought Captaris who bought Oce Legal Nuance sues ABBYY over core OCR algorithms If they win only one OCR engine only option is new approaches

33. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them Buyer Beware News Flash The Future Q & A

34. The Future More lawsuits More consolidation Full-page OCR will be a commodity Advance Document Processing will become main-stream but less required Document classification will be next big area of research and product solutions, the new big ticket item There will be a new approach to OCR Think about what to do now that you will be gathering data rapidly

35. What we will cover: Why Chris? What Are the Document Recognition Technologies Who Makes Them Buyer Beware News Flash The Future Q & A

36. Questions and Answers