Block-Based Neural Network for Automatic Number Plate Recognition

Automatic Number Plate Recognition (ANPR) system is highly accuracy-demanded application for car identification. This paper presents a new method of block-based ANPR system for recognition of Indian car license number plates. Since number plate guidelines are not strictly practiced in India and wide variations found on these plates in terms of font type, character size, screws/dots etc., it often becomes difficult to correctly identify the non-standard number plate characters. This proposed method works well with both standard and nonstandard Indian number plate images taken under various illumination conditions. By using the block-based feature extraction process this method of recognition provides a high recognition rate of 98.2% and speed up the processing time of each character to 3.3ms when using a database of 3399 character images.