Abstract Automatic number plate recognition (ANPR) is the method of extraction of vehicle number plate information from an image or a sequence of images. The extracted data can be used in many applications, such as toll booths and vehicle parking areas where payment can be done electronically and traffic surveillance systems. The images are taken by the ANPR systems using either a color , black and white or an infrared camera, depending on which different techniques are applied for extraction of
investigate the vehicle and the persons that are within the vehicle if any (Lum et al., 2011, pg. 322). The whole process of the camera identification, matching to the database, and notifying the officer only takes seconds (Lum et al., 2011, pg. 322). ANPR can make patrol more effective because without this technology, officers would have to input license plates numbers manually into the databases in the computer that is located inside the patrol car or through communications with the dispatch (Lum
— The use of digital instruments in industries and laboratories is rapidly increasing as they are simple to calibrate and have relatively high precision. In this paper, an automatic data acquisition system is proposed using OCR technique from digital multi-meter and other similar digital display devices. The input image is taken from a digital multi-meter having LCD seven segment display using a web cam. The image is then processed to extract numeric digits which are recognized using a feedforward