The Automatic recognition System to vehicles through its number is an important topic, because of its important uses, such as security applications by monitoring the entrances of a important institutions, monitor the vehicles on the road, detection o
f stolen cars, and even that could be useful in statistical studies, where we can study the traffic congestion in an area. In this work we offer an overview of the Automatic Number Plate Recognition System (ANPR) through to identify the license plate number, and also recognize the color of car.
The focus of this research on the stage of converting the numbers into a picture of a car plate to actual figures, to improve the performance of all system, where many of errors that occur at this stage.
In this search was used the algorithm of Principle component
analysis (PCA) to identify the numbers plate inside the picture.
and its integration with optical character Recognition
algorithm(OCR) which usually used for recognition , to minimize
errors in recognition numbers and thus improve the performance of the automatic number plate system.and also we add color car recognize(which another important parameter of car) , this helps after return to data base detect stolen vehicles and improve the reliability of system
This research was conducted in the Agriculture Faculty- Food Science
Department, Damascus University, for detecting Lactic acid bacteria isolated
from Syrian dairy products (white fresh cheese-Leben), Samples were collected
from August, 2004 to Oc
tober, 2005 from different areas in Syria. Analysis was
done for 245 bacterial isolates from 40 samples of white fresh cheese and 58
samples of yogurt (curd). Results showed that the genus Enterococcus was
dominant with a percentage of 47.52%; Pediococcus had a percentage of 26.3
%; while Lactococcus had a percentage of 15.38% with only 3.2% for
Lactobacillus.
Formaldehyde is classified by the World Health Organization (International Agency
for Research on Cancer) as a carcinogen in Group 1. The upper limit allowed for use in
cosmetic products as a preservative has to not exceed 0.2%. This study aims to
detect and
determine formaldehyde level in some cosmetic products available in the local market
using acetyl acetone method. Formaldehyde was detected in 77% of the studied cosmetic
products (49 samples) despite the fact that most of them were not labeled formaldehyde or
formaldehyde donor preservatives (about 70%). The amount of formaldehyde in keratin
samples were higher than the allowed limit (0.34% -11.73%) except one sample 0.18%. pH
decrease and temperature increase of keratin samples led to an increase of formaldehyde
level as a result of its release from preservatives.
