license plate recognition system
DESCRIPTION
License Plate Recognition System. Group B1: ECE 4006D Fall 2002 Jamey Brown Alantria Harris Matthew Noury Amit Patel John Rafferty. Introduction Our Product Existing Products Anticipated Challenges Materials Needed Project Organization. Project Structure Images OCR Database GUI - PowerPoint PPT PresentationTRANSCRIPT
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License Plate Recognition System 1
License Plate License Plate Recognition SystemRecognition System
Group B1: ECE 4006D Fall 2002
Jamey BrownAlantria HarrisMatthew NouryAmit PatelJohn Rafferty
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OutlineOutline Introduction Our Product Existing Products Anticipated
Challenges Materials Needed Project
Organization
Project Structure Images OCR Database GUI
Testing Plan Economic
Analysis Conclusion
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IntroductionIntroduction License Plate Recognition is an
image processing technology that is used to identify vehicles by their license plates.
Works by extracting the characters from an image.
Used for many applications: tollbooths, parking decks, border control, law enforcement, etc.
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Our ProductOur Product We will design a license plate
recognition system that will be used for law enforcement
Based on a Linux platform Works with stationary vehicles Customized for the Georgia
License Plate
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Existing Existing ProductsProducts Most systems are available
outside of the US. Applications available in the
US: SeeCar Perceptics Pearpoint
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Anticipated Anticipated ChallengesChallenges
OCR accuracy Inter-process communication
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Server SetupServer Setup Red Hat Linux 7.2 MySQL Apache & PHP – Database
Accessibility Glade
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Why Linux?Why Linux? Free Open Source Product model No licensing issues – Product is
scalable
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Application Design Application Design FlowFlow
Picture Processing Database
G lade
UserInterface
Inform ationaccess via
the webApache,
PHP
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Materials Materials NeededNeededAxis 2100 Network Camera Built-in high performance Web
server Does not require a PC Can operate as a standalone
or be placed wherever there is a LAN or Internet connection, or an available modem
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Project Project OrganizationOrganization 4 Main Areas:
Image Capturing OCR Processor Development Database Development GUI Development
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Project Project OrganizationOrganization
Jamey Brown
Alantria Harris
Matthew Noury
Amit Patel
John Raffert
ySetup Linuxmachine
Capture images
Develop OCRProcessor
Develop OCR
Processor
Capture images
Develop database
Develop GUI Presentation and
report write-ups
Presentation and
report write-ups
Develop database
Presentation and
report write-ups
Presentation and
report write-ups
Testing Testing Presentation and
report write-ups
Testing Testing Testing
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Project TimelineProject Timeline
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Image CapturingImage Capturing Grayscale bitmaps Variety of Georgia license
plates (A-Z, 1-9)
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OCR ProcessorOCR Processor
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Boundary-constraint-Boundary-constraint-based OCRbased OCR
A ABoundry-Constraint-Based OCR:Top Line 1: Move down to character boundry.Bottom Line 1: Move up to boundry.These points are sufficient to identify an "A".
FBoundry-Constraint-Based OCR:Then for more complex chartacters:Left Line 1: Move right to character boundry.Right Line 1: Move left to boundry..For increased accuracy, one can add additionalboundry points..
Boundry-Constraint-Based OCR
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Grid-based OCRGrid-based OCR
AGrid-Based OCR:Find where the characrter intersects the grid,then compare this to stored character images.
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Region-matching-based Region-matching-based OCROCR
A ARegion-Matching OCR:If a region is more than 50% filled, mark thatregion as filled. Then compare the filled regionsto stored character images.
Region-Matching OCR:Divide the character up into regions.
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Database Table Database Table OverviewOverview
Offenders Table
ID fie ld (som eprim ary key) Nam e License
Num ber
Crim inalrecord,Bench
W arrants, etc
Address,Phone
Num ber, etc
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User InterfaceUser Interface Will return the results from the
database Glade
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Testing PlanTesting Plan Start by testing each set
separately Test as a complete system
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ConclusionsConclusions What will our final project
be???
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QuestionsQuestions