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Basic Concept of Document Imaging
Application Design
Mason Pai ( Senior ECM practices worker )
07-09-2008
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([email protected])// E-Loan/ HCAAIIM/WFMC (Since 1996-
)
Certified STP Consultant
/Web 2.0 & SOA
.Net / J2EE
XML/Web Service/SOAP
ECM / BPM /WorkflowTuxedo Middleware
(Tandem / IBM /Unisys)
CAPKI(OracleInfomixSybase SQL Server)
21
(///)
(SOA/WebService)
ECM/BPM
/
mailto:([email protected])mailto:([email protected])
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Vision
( IT ) ?? ( ROI )
Just Do it !! Pay for Itself !!
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Agenda
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e
Source: Summary of multiple industry estimates
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RISK-DRIVENComplianceRisk managementBusiness continuity
COST-DRIVENImprove efficiencyReduce costsIncreased profits
Better performance
CUSTOMER-DRIVEN Better customer service Leadership Competitive
advantage
Faster turnaround Improved response
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DocumentInput
DocumentInput
ImageCapture
ImageCapture
ImageFormation
ImageFormation
Document
Output andDisposition
Document
Output andDisposition
Scanning
Conversion to digital formDrop-out
Adjustment /Correction(Considerations:Filtering,
NoiseRemoval)Binarization
Documents for
re-scanning
Post Processing
R
esult
R
esult
DocumentImages & Data
DocumentImages & Data
Information ManagementStorage and Access
WorkflowProcessing
Document Management
Information ManagementStorage and Access
WorkflowProcessing
Document Management
PreparationPreparation
Preparation
Staple / Clip removalDamage repairSortingBatching
Export /
Delivery
Export /Delivery
ImageEnhancement
ImageEnhancement
De-skewBorder removalCroppingRotation
QualityAssurance
QualityAssurance
VerificationQuality Control
Image data
Processing
Image dataProcessing
Data CaptureIndexingForms RecognitionOCRExtraction
Output
Formation
OutputFormation
File formatsDirectory structures
Image RoutingPresent to system
Re-scan
Management
FeedingJam clearanceCleaningMaintenance
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Document Preparation
Scanning process (devices reliability)Feeding, jam clearance
Image enhancement (de-skew, image quality)
Exceptions & re-scans
Post-image ProcessingQA & Verification
Data extraction & Indexing
Workflow Optimization
Operator Training ( SOP )
To capture good and right images
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Preparation
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Size ( )Thickness ( )Single or double-sided
Color / high-lighted ( )
Signature ink
stamp color ( )Average number of pages ( )Quality ( )Volumes
By dayweekor month Seasonal or business-related variations
Scanners capacity
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Repair torn pages ( )Sort documents ( )Remove sticky notespaper
clips and staples( )
Documents repacking (
)Folder documents list ( )Operation control sheet (
)Time-consuming and too often underestimated
Poor document prep will also slowdown document
throughput
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Scanning process
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The transformation of paper documents into anelectronic
imageCaptured by scanners
Digitizing of microfilm
Fax Serverimage quality be lowerCamera phonecapture documents on
thego ( >> 3 MB pix )
Multifunction device (or peripheral)low-volume imaging needs
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Workgroup10 25 ppmDepartmental26 40 ppmMid-volume production40
120 ppmProduction120 plusOversizedover-sized (more than
A3)documents
Check scannersMICR processing ( )Microfilmdigitizing film-based
documentsMultifunction device
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Define standard document set
Calculate effective conversion factor
Calculate real operating time
Calculate throughput for your operation
Ongoing statistics for continuous
improvement
Manufacturer published rated speed (pages/minute) 160
Manufacturer calculated throughput (pages/shift) - 8 1/2x11
76,800
Mixed documents speed/minute* 208
Effective hours of run time** 5.50
Effective throughput (pages/shift) with downtimes** 68,519%
effective utilization vs. manufacturer's rating 89%
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Post processing
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TIFFB/W documents ( Color image ?? )Single / Multi Pages
Lossless Compress
JPEGGrey scale / Color documents ( Single page )
Quality / Compress ratio
Lossy Compress
PDFReplica of document ( )OCR Text searchable
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Deskew ()Despeckle ( )Cropping ( )Rotate ( short size scanning
)
Blank page removal ( )Double-feed detection
Performed by software or an image processingboard in the
scanner
Driver parametersPlug and Play
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OCRmachine-printed characters
ICRhand-printed characters ( 300 dpi )ID
OMRcheckboxesfilled-in bubbles
Barcodespre-printed 1D ( code 39 )
2D Barcode ( PDF 417 )XML data
Form design consideration ( Adobe LC designer )
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Indexing is NOT optional
no other way to find documentsKey from index fields
document typedatecustomer ID / nameetc. Image zone
definition
Barcodes auto-indexing
index values automatically populatedZone OCR / ICRalso
automatic
Ingest from other applications
Metadata for the document
Define an Unique Document ID
Date + Unit + Type + Seq number
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QCScanned images reviewed manually
Bad images are flagged and rescanned
insertdeletereplacereorder
Image quality assurance criteriaSampling & error rate
In key-from-imagedata validatedSecond operator ( make and check
)
Image data fields entry partition
Database lookups
Data fields format / rule check
A collaborate processing oriented
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After processing
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Backend Application ()
Doc ID ( Unique index ) to connect Backend App DB Images
information ( status / time / pages )
Meta data and images objects
Images retrieval component ()ECM / BPM
Batch import into ECMWork as a case start trigger in BPM process
step
Host Application integration ()Transaction message () via
gateway API (TCP/IP
Socket / SNA LU 6.2 )
XML with EAI
Web Service / SOAP
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Systematic Documents filing operation
Managed by document typeApply for all documents
Comply with old filing ( converted procedure )
Document Batching and Boxing operation
Document Tacking control
Document Filing number ( Doc ID )Scanner endorser print ( pre /
post scan )
Barcode / Cover page
Integrated with document image system
LocationBoxBatchFiling numberQuery by index fields
Link with document filing number
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Type of conversion ()
Backfile done (scan all existing documents)Day forward (scan
only documents from day X on)
Scan-on-demand (convert documents as they are retrievedin the
normal course of business)
Onsite or OffsiteDepending on security needs and the privacy
requirements
of documents
It may be best to do the conversion in-house or have anoutsource
provider perform the conversion onsite
Will the paper originals be destroyed ()or stored ()or returned
to youWill the provider also host the documents or return them
to
youeither electronically or via storage media
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Trends the Internetgreater bandwidth
smaller
less expensive scanners (and MFDs)
Paper be inserted into the business process atthe point of
creation
Rather than collecting and shipping documents to
a central locationDocuments can be scanned on the same day
Operation center processing model ()Distribute scan
Centrally data entry processingDedicated & skillful staffs
on job
Integrated with work flow system
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Throughput + e Business = Improved ROI
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ROI
time / per
cost / per
time / per
time / per
risk / per
risk / per
time / per
time / per
time / per
risk / per
risk / per
time / per
time / permail room
ValuesROI
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Reduce filing/storage costs
Reduce distribution costs
Protect/control information
Improve access to information
Comply with regulatory requirements
Improve customer service
What is the expected benefit for you
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AIIM 2007
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Just do it !!
Pay for itself !!
