Book description
Organizations face many challenges in managing ever-increasing documents that they need to conduct their businesses. IBM® content management and imaging solutions can capture, store, manage, integrate, and deliver various forms of content throughout an enterprise. These tools can help reduce costs associated with content management and help organizations deliver improved customer service. The advanced document capture capabilities are provided through IBM Datacap software.
This IBM Redbooks® publication focuses on Datacap components, system architecture, functions, and capabilities. It explains how Datacap works, how to design a document image capture solution, and how to implement the solution using Datacap Developer Tools, such as Datacap FastDoc (Admin). FastDoc is the development tool that designers use to create rules and rule sets, configure a document hierarchy and task profiles, and set up a verification panel for image verification.
A loan application example explains the advanced technologies of IBM Datacap Version 9. This scenario shows how to develop a versatile capture solution that is able to handle both structured and unstructured documents. Information about high availability, scalability, performance, backup and recovery options, preferable practices, and suggestions for designing and implementing an imaging solution is also included.
This book is intended for IT architects and professionals who are responsible for creating, improving, designing, and implementing document imaging solutions for their organizations.
Table of contents
- Front cover
- Notices
- Preface
- Part 1 Production imaging
-
Chapter 1. Production imaging overview
- 1.1 The business document problem and approach to its solution
- 1.2 Introduction to Production Imaging Edition
-
1.3 Examples of applications
- 1.3.1 Cross industry: Automated forms processing
- 1.3.2 Cross industry: Distributed capture
- 1.3.3 Cross industry: General business documents processing
- 1.3.4 Cross industry: Accounts payable
- 1.3.5 Cross industry: Surveys
- 1.3.6 Government: Tax return processing
- 1.3.7 Healthcare and insurance: Medical claims
- 1.3.8 Banking and finance: Loan applications
- 1.3.9 Transportation and logistics: Shipping documents
- 1.4 Conclusion
- Chapter 2. System architecture
-
Chapter 3. Production imaging functionality
- 3.1 Functionality highlights of Taskmaster
- 3.2 Taskmaster process
- 3.3 Taskmaster GUI
- 3.4 Taskmaster clients
- 3.5 Taskmaster background processes
-
3.6 Taskmaster action libraries
- 3.6.1 Image cleanup and enhancements
- 3.6.2 Barcode recognition
- 3.6.3 Optical Character Recognition
- 3.6.4 Intelligent Character Recognition
- 3.6.5 Optical Mark Recognition
- 3.6.6 Classification
- 3.6.7 Fingerprinting
- 3.6.8 Content-based identification with IBM Classification Module
- 3.6.9 Language support
- 3.6.10 Imprinting and redaction
- 3.6.11 Locating text
- 3.6.12 Validations
- 3.6.13 Exports
- 3.7 Principles and tools of the Taskmaster configuration
- 3.8 FileNet Content Manager for production imaging
- 3.9 Advanced production imaging viewing
- 3.10 Bulk Import Tool
- 3.11 Conclusion
- Part 2 Solution implementation
- Chapter 4. Solution example
-
Chapter 5. Designing a production imaging system
- 5.1 Design goal of the production imaging system
- 5.2 Capture system design
-
5.3 Requirements gathering
- 5.3.1 Requirements for current capture or document processing environment
- 5.3.2 Processing location requirements
- 5.3.3 Document type requirements
- 5.3.4 Captured data requirements
- 5.3.5 Verification requirements
- 5.3.6 Export requirements
- 5.3.7 Volume and timing requirements
- 5.3.8 Administration requirements
- 5.4 Designing the capture for the auto claims scenario
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Chapter 6. Implementing the capture solution
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6.1 Configuring the Datacap application
- 6.1.1 Creating a blank application
- 6.1.2 Setting up the document, pages, and fields
- 6.1.3 Setting up the physical scan device
- 6.1.4 Creating a module in Taskmaster
- 6.1.5 Creating a job within the Taskmaster Client
- 6.1.6 Setting up the iScan task
- 6.1.7 Setting up the PageID task
- 6.1.8 Setting up the Rulerunner task
- 6.1.9 Testing the progress
-
6.2 Zones and fingerprints
- 6.2.1 Setting up the zones
- 6.2.2 Setting up optical mark fields
- 6.2.3 Setting up an ICR field
- 6.2.4 Removing the Clean rule set
- 6.2.5 Creating a rule set to read fields
- 6.2.6 Creating a rule set to validate fields
- 6.2.7 Validating captured field values against the database
- 6.2.8 Setting up routing
- 6.2.9 Testing scan validation and routing
- 6.2.10 Setting up the verification panel
- 6.2.11 Setting up the Verify job
- 6.2.12 Setting up the export to the repository
- 6.3 Task profiles overview
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6.1 Configuring the Datacap application
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Chapter 7. Adding a document type to an existing application
- 7.1 Adding VScan to a rule set
- 7.2 Adding a document with pages and fields
- 7.3 Setting the PageID logic
- 7.4 Adding the Image Enhance feature to the pages
- 7.5 Configuring the CreateDocs rule set for the pages
- 7.6 Adding a full page OCR rule set to the pages
- 7.7 Setting the fingerprint for the Estimate_Invoice document
- 7.8 Obtaining field values in the Claim_Pg document by using the Locate() rule set
- 7.9 Looking up vendor information from a database byusing the Lookup() rule set
- 7.10 Validating data
- 7.11 Routing scanned pages
- 7.12 Verify task with Batch Pilot
- 7.13 Export task
- Chapter 8. Implementing the business process component
- Chapter 9. Best practices and recommendations
- Part 3 Advanced technologies
-
Chapter 10. Dynamic technologies
- 10.1 Introduction to dynamic technologies
- 10.2 PageID actions and techniques in dynamic applications
- 10.3 FlexID
- 10.4 DNA technology
- 10.5 Sticky fingerprints
- 10.6 Managed recognition
- 10.7 CCO Merging
- 10.8 FPXML
- 10.9 Line item detection
- 10.10 Enhanced error messaging
- 10.11 Data localization actions
- 10.12 Intellocate
- 10.13 Flex technology
- 10.14 Conclusion
- Chapter 11. Technical walkthrough Accounts Payable Capture
- Part 4 Application and performance
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Chapter 12. System scalability, availability, backup, and recovery
-
12.1 System scalability, performance, and availability
- 12.1.1 Typical Datacap installation
- 12.1.2 Scaling Rulerunner vertically (scale up)
- 12.1.3 Scaling Rulerunner horizontally (scale out)
- 12.1.4 Scaling Rulerunner horizontally and vertically
- 12.1.5 Taskmaster Server scaling and redundancy
- 12.1.6 Scaling both Taskmaster Server and Rulerunner
- 12.1.7 Taskmaster Web scaling and redundancy
- 12.1.8 Scaling and redundancy for thick clients
- 12.1.9 Load balancing of tasks
- 12.1.10 Scaling databases
- 12.1.11 Network share drive
- 12.1.12 Scaling across geographies
- 12.2 Rulerunner
- 12.3 Configuring Rulerunner
- 12.4 Adding additional Taskmaster Servers
- 12.5 Backup and restore
-
12.1 System scalability, performance, and availability
- Chapter 13. Installation, migration, and application reuse
- Related publications
- Back cover
Product information
- Title: Implementing Mobile Document Capture with IBM Datacap Software
- Author(s):
- Release date: October 2015
- Publisher(s): IBM Redbooks
- ISBN: 9780738440903
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