License Plate Recognition (LPR) is a fairly well explored problem
and is already a component of several commercially operational systems. Many of
these systems, however, require sophisticated video capture hardware possibly
combined with infrared strobe lights or exploit the large size of license
plates in certain geographical regions and the (artificially) high
discriminability of characters. In this paper, we describe an LPR system that
achieves a high recognition rate without the need for a high quality video
signal from expensive hardware. We also explore the problem of car make and
model recognition for purposes of searching surveillance video archives for a
partial license plate number combined with some visual description of a car.
Our proposed methods will provide valuable situational information for law
enforcement units in a variety of civil infrastructures.
Pre-2018 CSE ID: CS2005-0833