JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks.

javaanpr
........\build
........\.....\classes
........\.....\.......\javaanpr
........\.....\.......\........\configurator
........\.....\.......\........\............\Configurator.class
........\.....\.......\........\gui
........\.....\.......\........\...\ReportGenerator.class
........\.....\.......\........\...\TimeMeter.class
........\.....\.......\........\...\tools
........\.....\.......\........\...\.....\FileListModel$FileListModelEntry.class
........\.....\.......\........\...\.....\FileListModel.class
........\.....\.......\........\...\.....\ImageFileFilter.class
........\.....\.......\........\...\windows
........\.....\.......\........\...\.......\FrameComponentInit.class
........\.....\.......\........\...\.......\FrameHelp$1.class
........\.....\.......\........\...\.......\FrameHelp.class
........\.....\.......\........\...\.......\FrameMain$1.class
........\.....\.......\........\...\.......\FrameMain$2.class
........\.....\.......\........\...\.......\FrameMain$3.class
........\.....\.......\........\...\.......\FrameMain$4.class
........\.....\.......\........\...\.......\FrameMain$5.class
........\.....\.......\........\...\.......\FrameMain$6.class
........\.....\.......\........\...\.......\FrameMain$7.class
........\.....\.......\........\...\.......\FrameMain$8.class
........\.....\.......\........\...\.......\FrameMain$LoadImageThread.class
........\.....\.......\........\...\.......\FrameMain$RecognizeThread.class
........\.....\.......\........\...\.......\FrameMain.class
........\.....\.......\........\imageanalysis
........\.....\.......\........\.............\Band.class
........\.....\.......\........\.............\BandGraph$PeakComparer.class
........\.....\.......\........\.............\BandGraph.class
........\.....\.......\........\.............\CarSnapshot.class
........\.....\.......\........\.............\CarSnapshotGraph$PeakComparer.class
........\.....\.......\........\.............\CarSnapshotGraph.class
........\.....\.......\........\.............\Char.class
........\.....\.......\........\.............\Graph$Peak.class
........\.....\.......\........\.............\Graph$ProbabilityDistributor.class
........\.....\.......\........\.............\Graph.class
........\.....\.......\........\.............\HoughTransformation.class
........\.....\.......\........\.............\Photo.class
........\.....\.......\........\.............\PixelMap$1.class
........\.....\.......\........\.............\PixelMap$Piece.class
........\.....\.......\........\.............\PixelMap$PieceSet.class
........\.....\.......\........\.............\PixelMap$Point.class
........\.....\.......\........\.............\PixelMap$PointSet.class
........\.....\.......\........\.............\PixelMap.class
........\.....\.......\........\.............\Plate.class
........\.....\.......\........\.............\PlateGraph$SpaceComparer.class
........\.....\.......\........\.............\PlateGraph.class
........\.....\.......\........\.............\PlateHorizontalGraph.class
........\.....\.......\........\.............\PlateVerticalGraph$PeakComparer.class
........\.....\.......\........\.............\PlateVerticalGraph.class
........\.....\.......\........\.............\PositionInPlate.class
........\.....\.......\........\.............\Statistics.class
........\.....\.......\........\intelligence
........\.....\.......\........\............\Intelligence.class
........\.....\.......\........\............\Parser$FinalPlate.class
........\.....\.......\........\............\Parser$PlateForm$Position.class
........\.....\.......\........\............\Parser$PlateForm.class
........\.....\.......\........\............\Parser.class
........\.....\.......\........\............\RecognizedPlate.class
........\.....\.......\........\Main.class
........\.....\.......\........\neuralnetwork
........\.....\.......\........\.............\NeuralNetwork$Gradients.class
........\.....\.......\........\.............\NeuralNetwork$NeuralInput.class
........\.....\.......\........\.............\NeuralNetwork$NeuralLayer.class
..

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