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License plate recognition process Automatic number plate recognition ( ANPR; see also below) is a technology that uses on images to read to create. It can use existing,, or cameras specifically designed for the task. ANPR is used by police forces around the world for law enforcement purposes, including to check if a. It is also used for on and as a method of cataloguing the movements of traffic, for example by highways agencies. Automatic number plate recognition can be used to store the images captured by the cameras as well as the text from the license plate, with some configurable to store a photograph of the driver. Systems commonly use lighting to allow the camera to take the picture at any time of day or night. ANPR technology must take into account plate variations from place to place.

Concerns about these systems have centered on privacy fears of government tracking citizens' movements, misidentification, high error rates, and increased government spending. Critics have described it as a form of. The on was changed to improve plate recognition. ANPR uses (OCR) on images taken by cameras.

When switched to a different style in 2002, one of the changes made was to the, introducing small gaps in some letters (such as P and R) to make them more distinct and therefore more legible to such systems. Some license plate arrangements use variations in font sizes and positioning—ANPR systems must be able to cope with such differences in order to be truly effective.

More complicated systems can cope with international variants, though many programs are individually tailored to each country. The cameras used can be existing road-rule enforcement or closed-circuit television cameras, as well as mobile units, which are usually attached to vehicles. Some systems use infrared cameras to take a clearer image of the plates. In mobile systems [ ]. A car equipped with mobile ANPR.

During the 1990s, significant advances in technology took automatic number plate recognition (ANPR) systems from limited expensive, hard to set up, fixed based applications to simple 'point and shoot' mobile ones. This was made possible by the creation of software that ran on cheaper PC based, non-specialist hardware that also no longer needed to be given the pre-defined angles, direction, size and speed in which the plates would be passing the camera's field of view. Further scaled-down components at more cost-effective price points led to a record number of deployments by law enforcement agencies around the world. Smaller cameras with the ability to read license plates at higher speeds, along with smaller, more durable processors that fit in the trunks of police vehicles, allowed law enforcement officers to patrol daily with the benefit of license plate reading in real time, when they can interdict immediately. Despite their effectiveness, there are noteworthy challenges related with mobile ANPRs. One of the biggest is that the processor and the cameras must work fast enough to accommodate relative speeds of more than 100 mph (160 km/h), a likely scenario in the case of oncoming traffic. This equipment must also be very efficient since the power source is the vehicle battery, and equipment must be small to minimize the space it requires.