Abstract: An automatic identification system for a car-plate which comprises a photographing apparatus and an image-processing CPU. The system disclosed in the present invention can be mounted in a car for automatically identifying a car-plate that is under a still or moving condition. The photographing apparatus is used for taking the image of a car-plate, and the image is then transmitted into the image-processing CPU, which accurately extracts the characters of a car-plate using a "Fuzzy inference" technique, and identifies the characters through a character structure analysis neural network. With the automatic identification system of the present invention, an incorrect identification can be avoided in the event the image of a car-plate is blurred, and the characters is deformed or smeared.

Abstract: A method and apparatus for the automatically inspecting the contours of a gear for manufacturing errors. According to the method, a gear to be inspected is imaged on an imaging surface to form a gear image. A digitized image indicative of the gear image is generated. The digitized image comprises a plurality of pixels. The pixels each have a gray value and coordinates which represent the location of the pixel within the digitized image. Each pixel is classified into a first or a second class by comparing the gray value of the pixel to a predetermined threshold value. The coordinates of pixels corresponding to the contours of the gear are determined from the classes of pixels. The manufacturing errors of the gear are calculated by comparing the coordinates of the pixels corresponding to the contours of the gear to a standard gear pattern.