Automatic License Plate Based Smart Vehicle Validation &Security by Gate Control &Email Send

With the advancement of technology, there is a different aspect of designing and allotting number plates to the vehicle of their country. For the several respective regular administrative tasks the license number plate is used by various government offices for purposes like tracking of number plates by the traffic police in case of violation of any traffic rule by a particular vehicle, for the analysis of theft cars, for collection of toll and management of parking of vehicles etc. Unique numbers are assigned to all the motorized vehicles in India. These numbers are designated to the vehicles by district-level Regional Transport Office(RTO). In India it is essential to place the license plates in both front and back of the vehicle. Substantially, these number plates can easily be read by human-beings due to their high level of intelligence and perception. But on the contrary, for computers it is an extremely troublesome task to read the numbers. Many of the attributes will pose a problem likeillumination, blurness, background color, foreground color etc. In Transportation, vehicles play a vital role nowadays because of population growth and human requirements the usage of vehicles is increasing. Therefore it is a very problematic task to control the vehicles and much more troublesome to solve. For reading the number plates of a car many constraints are faced likepresence of noise, blurred image, uneven illumination, dim lighting and foggy scenarios. Nowadays peoples’ lives have noteworthy influence of Intelligence Transportation System(ITS). The systems that are included in ITS areIntelligent infrastructure systems, Intelligent vehicles systems etc. in this current era of information technology, there is unrestricted sweeping of in use of automations and intelligent systems. Vehicle number plate recognition has rig out to be an important research topic. Some of the functions of VNPR in traffic monitoring system are – controlling of traffic volume, generating tickets for vehicles with no human control, vehicle tracking, vehicle policing, vehicle security and so on. The paper categorizes various ALPR methods according to the features used for every stage and a comparative analysis is done in terms of pros and cons for recognition of accuracy and processing speed. The report presents the algorithms for localization of yellow colored license plates using morphological operations, character segmentation using histogram and intensity projections and Optical Character recognition using Template matching.[13] Furthermore, an object enhancement method has been discussed which enhances the performance of the complete system. At the end it has also been discussed the various other approaches of implementation and proposed improvements in the used algorithm which can further improve the entire efficiency and accuracy. There is also a feature for number plate validation using excel database to control a real time gate/buzzer with LCD display and notification on email for invalid vehicles Keywords— Automatic license plate recognition (ALPR) system, OCR, Template Matching, Excel database, embedded control & Email sending with attachment