The document discusses Open Text Capture Center (OCC), a platform that collects documents from various sources, classifies and extracts data from them, and feeds the information into business applications. It can automatically process documents with optical character recognition, intelligent character recognition, and intelligent document recognition. The platform supports use cases like digital mailrooms, backfile conversion, and transaction processing. It recognizes different types of structured, semi-structured, and unstructured documents. Key components include monitoring, configuration, enterprise scan clients, and various recognition and validation modules.

1. Some Customers
OEM Direct Customers
o
1

2. Value Proposition
Collect documents from … classify … and feed them into
various sources …. them, extract data business applications
…
Transform Pixels into
Content Server
Actionable Information
TCP, IDM, VRD, C
360, P360, …
SharePoint
Automatically with OCR, ICR, IDR

3. Use Cases
Enable
Digital
Workflow
Qualified
Electronic
 Digital Mail Room
Document
 Scanning Documents
Make into Electronic Files
Money
Document
 Backfile Conversion
and Data
Capture  Transaction and Process
Save
Management
Money
 Service Centers
Reduce
Manual
 Ad-Hoc capturing
Keying Enable
Process
Auto-
mation
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4. Overview Components of OCC
Open Text Capture Center
Monitoring Configuration
Enterprise Scan Business
Client Application
IM Dispatch EX
Fax, Email,
FTP site,
Archive
Network Folder
SharePoint Recognition Validation
Copyright © Open Text Corporation. All rights reserved.

5. Recognition: Different Document Types
Structured Semi-Structrured Unstructured
Documents Documents Documents
> Forms > B2B Correspondence > C2B Correspondence
Data at fixed Data is in logical Data may be
positions groups but positions anywhere in the
are unknown. document.
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6. Steps in Document Recognition
Separation: Splitting a batch of images into individual (multi-page) documents
…
Classification: Identification of document type
„Invoice”
„Delivery Note“
„Order“
„Others“
Extraction: Searching for basic information on the document
Date: Jan 21. 2012
Amount: 332,29 $
Order-Nr: X-44277
Invoice
Supplier: Mueller & Friends
Interpretation: Enhancing of extracted data with context information
Date: Jan 21. 2012 21012012
Amount: 332,29 $ 332.29 USD
Order-Nr: X-44277 X-44277
Supplier: Mueller & Friends K441258-3
Slide 6 Copyright © Open Text Corporation. All rights reserved.

7. Free Forms Extraction
OCR Analyze Extract Normalize Verify
“10/24/10” 24.10.2010
Valid
Format (US)
period
3 Date Order_Date =
“10/24/10”
Day = 24
Month = Oct
Year = 2010
yes
?
no
CLERK: 12
DATE SHIPPED
ORDER DATE Word
10/30/02
10/24/02 Manual
24.10.2010 Export
COVER CODE keying
Number
PA
Turn pixels into Find meaningful entities Find the correct date Decompose string into Check against business
characters w/ optical and tag them among all detected subunits and re-format as and plausibility rules
character recognition alternatives required
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8. Long Term Effect of Free Forms Techniques
OCC Approach
Form
Adaptive Combining
(template) Free Form
(=learning) Free Forms
based Recognition
technology and adaptive
Recognition
Increase of recognition rate during production time
Copyright © Open Text Corporation. All rights reserved.

9. Invoice Data Extraction
Supplier
Invoice Number
Invoice Date
Order number
Delivery note
Line items
Net Amount
Currency
Total amount
Copyright © Open Text Corporation. All rights reserved.

10. Supported Countries in Knowledge Base
United Belgium Australia Norway Czech Russia
States Republic
Austria France Denmark Singapore Slovakia* New Zealand
Netherlands Finland Spain Poland Slovenia
United Hungary Sweden Canada Romania*
Kingdom
Germany Italy Switzerland Portugal Bulgaria*
* Header data only

11. Purchase Order Processing with OCC
Rendition Web form
Sever
Capture Center
Enterprise Reco-
Validation Case360
Scan gnition
Master Data Knowledge Base
Content
Tempo
Sever
11

12. OCC – Your Benefit
Reduce Operating Costs
$  Automating manual tasks
 Deploying a single input management platform
 Reducing paper filing/storage
Improve Information Quality
Q  Improving information sharing
 Leveraging a common set of business rules
 Reducing errors

Accelerate Business Processes
 Shortening cycle times
 Reducing exception processing
 Enhancing customer relationships
 Improving knowledge worker productivity
§§
Compliance
 Ensuring compliance / auditability
 Improving visibility into business processes
 Improving litigation preparedness
Copyright © Open Text Corporation. All rights reserved.