LED DOT Matrix Text Recognition method in Natural Scene

Abstract

Light-emittingdiodestextdot-matrixtext(LEDtext)isbeingwidelyusedfordisplayinginformationandannouncements. LED
display for modernization of society and catch on for its versatile application with many benefits. Existing paper used k-nearest
neighbor(k-NN) approach,lowcomputationcomplexitymethodforpatternrecognition, isusedtorecognitioncharactercomponentas any
class of character and canny edge was used to detect character pixels when appear in led display area from scene images. The
drawback of existing system is that it cannot handle text line with non-uniform color and containing less than 3 characters. It also
cannot detect continuous LED text. Our proposed system will utilize the probabilistic neural network (PNN) classification to add the
robustclassificationforthehigherleveloftheadaptiveness. Principalcomponentanalysis(PCA)isastatisticalprocedurethatusesan
orthogonal transformation toconvert aset of observations of possibly correlated variables into aset of values of linearlyuncorrelated
variables called principal components. Our proposed system will achieve better detection and recognition rate than existing system