Chhabada, Sandeep Singh (2012) Heuristics for license plate localization and hardware implementation of Automatic License Plate Recognition (ALPR) system. BTech thesis.
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Abstract
The
project “Heuristics for license plate localization and hardware
implementation of Automatic License Plate Recognition (ALPR) system”
deals with detection and recognition of license plate from a captured
front view of any car. The work follows all the steps in an ALPR system
like preprocessing, segmentation, and license plate identification,
extraction of individual characters and finally recognition of each
character to form a string to match with the registered License plate
numbers. The main contribution in the work is to expedite the number
plate isolation from a set of segmented candidates. It utilizes a set of
heuristics typically transition from object to background and
vice-versa, aspect ratio of the bounding boxes. This narrow down the
number of candidates for further processing and further, we suggest a
rank based identification of each character in the number plate. The
process scheme along with the existing methodologies is integrated to
develop the overall ALPR system. A set of standard images collected from
internet as well as self-collected car images of staff vehicles are
used for simulation. The experiments are conducted using OpenCV. For
validation, a working ALPR hardware prototype is developed using AVR
development board (ATmega32 microcontroller), GP2D120 distance
measurement sensor (IR-sensor).Interfacing between PC and
controller-board is done using serial port. The model works with an
accuracy of 80%. The ALPR system has a further scope to improve the
recognition speed using parallel processing of various sub-steps.
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