Bulgarian ANPR Systems
The titanHz Bulgarian ANPR systems (Automatic Number Plate Recognition) is a strongly accurate ANPR Systems (Automatic Number Plate Recognition) with the capability to read Bulgarian Number Plates and characters in Bulgaria.It is highly accessible,a 24/7 solution that works with full options even when servers and networks are down.with its be done anywhere on the corporate LAN/WAN. The basic elements of a Bulgarian ANPR systems (Automatic Number Plate Recognition) system are generally accenting on the problems of LPL (License Plate Localization) instead of the LPCR (License Plate Character Recognition) therein. This reflects the LPL specifics of Bulgarian CLPR (Car License Plate Recongnisation) application, where the problems of CLPR (Car License Plate Recongnisation) are usually considered priori resolved by usage of conventional OCR (Optical Character Recognition) software. The goal of the research is to investigate the possibility to create a comprehensive system for multinational vehicle identification based on the license plate recognition. In that case no additional hardware such as transmitters mounted on the vehicle or additional sensors are required. The preliminary results obtained on real data are quite satisfactory.
They could be summarized as follows
1. Reliable verification of the plate candidate
generated at the phase of localization is achieve
2. Accurate plate segmentation under varying
illumination and various image distortions is obtained. In vast majority of classes
the plate was contained into one of the detected prospective horizontal strips (plate
candidates). Only few images of extremely poor quality (poor contrast and missing
part of the plate) attempted more than three prospective strips. The conclusion
is that in case of reasonably good images the above-described plate localization
approach yields excellent results. License plate imagery is equivalent to very low
text scanning resolution and nonhomogeneous background and lighting conditions in
addition. Use of an ANPR (Automatic Number Plate Recognition) cameras would
allow higher precision of the plate’s position detection and segmentation. It should
be mentioned finally that these results could be obviously extended to other applications
in the input-output transport systems, where automatic recognition of registration
plates, shields, signs, etc., is necessary, for instance, for the multi-modal transportation
necessities, i.e. not only for cars, but for ships, trains, palettes, etc.
Experimental Results
Extensive testing has been conducted with more than 150 Bulgarian vehicles. Images
have been captured from various distances and viewing angles. Image size has varied
from 64K to 1M pixels. JPEG and PNG image compression was tried along with a raw
uncompressed gray level imagery. Different daylight conditions were examined, from
bright sunlight illumination to foggy winter half-darkness. Very frequently the
plate zone has been in a shadow and the contrast of characters has been poor with
regard to the plate’s background. Situations of mixed illumination, where certain
portions of the plate were shadowed, while the others were brightly illuminated,
caused problems and sometimes led to rejection of the whole plate. The true license
plate zone was correctly located and approved on more than 90% of the images. The
rest of the cases were rejected by one of the consistency tests. It is important
to stress that there have been zero false positive errors, which explain the relatively
high share of rejected plates due to the conservative tests while approving plate
“candidates”.
Features
It should be capable of:
1. working indoor and outdoor
2 .Captures Bulgarian license plates of
moving vehicles with maximum speed of 200km/hr.
3. Working in a wide range of illumination
condition
4. Being invariant to size, scale and stroke
thickness
5. Being robust to broken strokes, printing
defects, noise, etc.
6. Being robust to camera-car relative
movement
7. Elimination of swipe cards or proximity
8. Living a real-time response
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