Vehicle Licenses, Road Traffic Signs, Automatic Segmentation And Recognition

The Automatic Extraction and Recognition of Car License Plate Number andRoad Ttraffic Sign is the fundamental software support of Intelligence Traffic System0 It has a wide Application Perspective0This Paper is divided into two section,the first section of automatic Extraction and Recognition is on Car License Plate Number, the second is on the Road Traffic Sign.The Strategy of License Plate section : First step: using the mathematic morphorlogy Operation by the structural element with different size and shape, get rid of the horizontal interference high frequency component, make the car license Plate number aggregate together with a long bar shape; Second Step: Extract the plateArea by the seed searching && shape analyzing method;Third Step: use the Hough Line dedection to calculate the slant angle of plate ,after putting right the slant plate,Use the horizontal high frequency analysis and projection method to get rid of the Outer Bounding frame and rivet . Fourth Step: use the contour projection to separate the Single car license plate character for recognition0 Fifth Step: get the skeleton of character ,after dilating it ,acquire the feature point and compose a feature point vector: use the wavelet decomposition to get the horizontal,vertical and diagonal edge gradient picture ,and calculate the invariant moment of each picture,thus form three moment vector. The last step: input these four vector mentioned above to the BackPropogation Neural Network to train and recognize the character.The strategy of road sign section: First step: use the Color Model based on Hue Saturation Illuminance to extract the object ,which has similar color of RoadSign ,from the background picture; Second Step: use the the statistical GrayCo-occurrence Matrix to filter out the object with rough surface texture ,and keep the road sign obj ect with smooth surface texture . Third Step: use the Fourier shapedescriptor analysis to take out the rectangular, round and triangle road sign object0 Fourth Step: as to the slant rectangular ,triangle object and round object which has a thick banning bar across the center, Put Right them and calculate its unit entropy toform an entropy vector0 Fifth Step: calculate the invariant moments of each road sign object ,including the round object which hasn抰 a thick banning bar across thecenter ,and form a moments vector0 Use these two vectors to classify the road sign by exploring the feature library file,the classification method is based on the minimumdistance method.The characteristic of this system is being able to extract correctly the car licenseplate and road sign under different complex background~ and meet the requirement of segmentation and recogniton in relatively short time.