It is great importance of recognizing handwritten numerals using a classifier. This paper applies the technique of Radial Basis Function for handwritten numeral recognition of Kannada script. Much work has been done on Kannada numeral recognition using different techniques for getting the more accuracy of recognition. Since different researchers have different techniques, so here we are trying to form a system where recognition of numerals becomes easy. An algorithm is proposed for determining Kannada numeral recognition using above mentioned system.

For an intelligent transport system license plate location and vehicle license plate recognition is an important phase. The objective of this work is to design & implement a method for Number Plate Recognition (NPR) of Kannada number plates. This paper presents a method of number plate recognition, segmentation & recognition of the characters present in the Kannada number plate. The images of various vehicles have been taken manually and converted into gray-scale images. The wiener2 filter is used to remove the noise located in the number plates. The segmentation of gray-scale image generated by finding edges using sobel filter for smoothing image is used to reduce the number of connected component & then bwlabel is used to calculate the connected component & at the last single character is detected. The result shows that the proposed method have achieved accuracy of 85%.