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Abstract
In the new generation the artificial intelligence is going to control everything in the world. In the existing system, the character detection in the image is done by connected component (CC) based approach.CC based approach is computational complexity, based on the pixel difference between the text and background of the image text is detected. Text images usually suffer from photometric degradation as well as geometric distortions. The proposed system will extract and recognize the characters too. This process is going to do with the help of training the fonts of alphabets and numbers which are stored in database. Gabour filter is used for the reduction of noise. Here the number plates of the vehicles are logged with time and date can be used in the toll gate. For the process of performance evaluation the similarity factor is going to done and 95% accuracy is expected in the detection of the numbers. From the detected text it can converted to audio for visually impairing people. And it is useful in the toll gates for automatic number entry. The project can be simulated by using MATLAB software.