1. Helen Sapronova, Catherine Moskalenko
ABBYY 3A

2. 2 Helen Sapronova, Product Manager, SDK,
Regional Manager, China & South Korea
One of the most experienced and respected professionals in ABBYY 3A, brilliant technical specialist.
Catherine Moskalenko,
Sales & Marketing Specialist
Dedicated webinar Host in ABBYY 3A.  2

3. Agenda What is new in ABBYY FineReader Engine
Improvements in architecture
Document Classification
BCR
OCR improvements
Other improvements
Update of Sales & Marketing Materials

4. why… OCR?

5. OCR business is declining?
70% of organizations perform the initial scanning of documents, but only 13% are extracting the data via OCR and processing it
Nearly half (47%) of them have made only 5% progress towards processes that could be paper-free, 18% haven't even started yet
1/3 are processing electronic documents, forms and PDFs separately from scanned paper. 20% print them out - including 13% who print them out and then scan them back into the capture system
Driving paper out of the process would improve speed of response by a factor of 4.6x and improve the productivity up to 35%
2/3 of enterprises adopting paper-free processes report a payback within 18 months, 1/2 see payback in a single 12-month budgeting period
*According to ©AIIM 2013,

6. ABBYY FineReader Engine is …
… an OCR SDK that gives developers, integrators and BPOs the tools they require to integrate text recognition technologies into their applications It allows companies to provide their customers with the best products and services, thus leading the business to a new level of success

7. What is new?

8. Key New Features Business Cards 64-bit Classification OS X Linux
Key New Features
Linux
OS X
64-bit
Classification
Business Cards
Arabic, Fast CJK
FRE 11 Launch
Now 3 platforms together (Win, Mac, Linux)
+64bit native
Tons of new great stuff
Classification
Business Cards
+ Receipts (not public yet)
Language improvements
Arabic, CJK - speed and accuracy

9. Architecture improvements
ABBYY FineReader Engine 11
Architecture improvements

10. FineReader Engine 11 is now available for Windows, Linux and OS X platforms
New!
ABBYY FineReader Engine 11 is immediately available on the Windows, Linux and OS X platforms
Linux and OS X versions have subsets of full feature list

11. 64-bit native support
New!
Native and neutral 64-bit applications development is possible now! Avoid “fragile” code in your applications
C++ DLLs now could be linked in x64 applications directly without using COM proxy
Neutral .Net/Java interops that can be used for building .Net/Java project for “any CPU” included

12. Document classification
ABBYY FineReader Engine 11
Document classification

13. Document Classification
New!
Document Classification
Automatic, universal, easy to integrate
Allows to assign a document to some class on the base of its content and/or appearance

14. Classification usage scenarios
[Archiving] Sorting documents by type for electronic archive creation
[Mailrooms automation] According to detected document class further routing can be initiated
[Batch processing] Document separation
[BPO] Pre-sort documents for further processing
[Banking/Insurance] Verify document set completeness applied to get loan/ insurance payout
[OEM] Smart MFP/scanner interfaces suggesting typical actions for each document class

15. Advantages of Classification in FineReader Engine 11
Automatic
No templates required. Can be trained easily by non-technical end-users
Universal
Fits for all types of documents
Easy to integrate
One page of code required for
basic scenario

16. Classification profiles
Maximum accuracy:
Based on full-text OCR analysis
key words are detected automatically during the training
Maximum speed:
Based on Title text OCR & image pattern

17. How to start classification?

18. Classification cross-positioning
General difference between classification in ABBYY products is in products themselves: they are intended for different tasks
ESDK
FRE
FCE FC
Input
Image
Layout-based - +
Content-based
Automatic Learning
User-defined classification
rules +1
1 available through FlexiLayout Studio interface

19. Classification
Demo

20. Business card recognition
ABBYY FineReader Engine 11
Business card recognition

21. Business Card Recognition
New!
Business Card Recognition
27 languages supported
API provides access to the following types of extracted data:
Personal name
Company name
Position in the company
Company address
Phone number
Fax
Mobile phone number
Web site
Auto-splitting of multiple business cards scanned on one page

22. Business Card Recognition
Recognized data can be saved in vCard, CSV or XML
Ideal for software or online service bundled with scanners/MFPs

23. PDF support improvements
ABBYY FineReader Engine 11
PDF support improvements

24. Faster PDF Export
Export to PDF now is up to 12% faster than in v10  

25. Reduced PDF output size
Output PDF MRC file is up to 50% smaller Compression is more efficient for documents containing text than for documents containing many images + text

26. PDF Bookmarks support
New!
In “PDF -> searchable PDF” scenario there are source PDFs that contain bookmarks. Up to V11 these bookmarks got lost during export. Now bookmarks can be retained in the output PDF file
*Available in Windows and Linux versions

27. Export to PDF/A-2
New!
PDF/A-2 is an extension to the existing archiving standard PDF/A-1
PDF/A-2 introduces a number of useful features, such as JPEG compression and new conformance level PDF/A-2u especially for Unicode
*Available in Windows and Linux versions

28. Other PDF improvements
Special processing mode for text-based PDFs
FineReader Engine 11 includes API to omit OCR of text-based PDFs, or re- use text information from them:
In the scenario “image PDF -> searchable PDF” one may do not perform processing of the text-based PDF at all, but simply copy original file to the output folder
In the scenarios when text-based PDF is converted to some other format, one can select whether the text information from the file should be used during processing
*Available in Windows and Linux versions

29. ABBYY FineReader Engine 11
OCR improvements

30. More accurate Arabic OCR
In FineReader Engine 11 the number of incorrectly recognized words for Arabic OCR is 2 times less compared to v10!

31. Faster Arabic OCR
At the same time with great accuracy improvements, recognition speed for Arabic texts in FREngine 11 became approximately 3 times faster compared to v10

32. Faster Chinese/Japanese/Korean OCR
Chinese (Simplified) is 2.5 times faster
Chinese (Traditional) is 4 times faster
Korean is almost 3 times faster
Japanese is 2.5 times faster
*Fast mode, 4 cores CPU

33. ABBYY FineReader Engine 11
Other improvements

34. Auto-splitting of double-page spread
New!
Better appearance of output document (page-by-page)
Higher effectiveness of image preprocessing (curved lines correction, scanning shadows removal)
Previous version of FineReader Engine can find position of a double-page spread. The split itself should be performed manually.

35. New barcode types autodetection
Maxicode barcode is used for tracking and managing the shipment of packages (i.e. by UPS company)
USPS 4CB barcode - in FRE11 Maintenance release

36. New font management API
Font management is much easier and provides a variety of predefined font filters which save developer from manual font specifying:
default set used by ABBYY FineReader
a set for European languages
a set for Chinese language
a set for Japanese language
a set for Korean language
a set for Arabic language
a set for Hebrew language
a set for Thai language
a set for Armenian language

37. Scanning API improvements
Asynchronous scanning allows to run recognition of scanned pages before scanning of all pages is finished
Extended access to scan settings, including access to scan source capabilities
Filtration of scan sources by available user interfaces (FineReader, scanner UI, none) or scan API types (TWAIN, WIA)
All limitations for implementing service-like scanning has been removed (writing log file can be canceled, scanning does not require Registry access)
An ability to specify compression type of scanned images
*Available in Windows version only

38. New code samples & updated Help file
Classification
Business card recognition
FineReader Engines Pool
Scanning
BatchProcessor

39. How to: Effectively use resources of a high performance computer
FRDocument API for parallel processing of multi-page documents. Preprocessing, analysis and recognition are performed in parallel; synthesis and export are performed sequentially in the main process
BatchProcessor API to process many one-page documents. Preprocessing, analysis and recognition are performed in parallel; synthesis and export are performed sequentially in the main process while new pages are being analyzed and recognized in other processes
To perform full processing of many one-page documents in parallel use a pool of Engines loaded out-of-process by means of COM

40. Demo

41. updated sales & marketing

42. Price lists and Marketing materials
Basic prices remain similar to previous version
New add-on modules: - Arabic OCR: 30% - Document Classification: 20% - BCR: can be included into Professional Runtime licenses purchased with SMUA
Updated SDK License Agreement Template – ask your manager
Updated materials will be available on Partner Portal shortly: - Price lists - Product Brochure - Product Presentation

43. Powerful OCR Engine to Win the Business Race
QUESTIONS?