Tezislər / Theses

THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
170
of the license plate is the same with the color of the car. Therefore, the best 
choice for the localization of the license plate is the connected components 
method (mathematical morphology). That’s why, we have used the 
connected components algorithm in the software. The connected components 
labeling operator scans the image by moving along a row until it comes to a 
point 
p
(where 
p
denotes the pixel to be labeled at any stage in the scanning 
process) for which 
V={1}
. When this is true, it examines the four neighbors 
of 
p
which have already been encountered in the scan. Based on this 
information, the labeling of 
p
occurs as follows: 

If all four neighbors are 0, assign a new label to 
p
, else 

if only one neighbor has 
V={1}
, assign its label to 
p
, else 

if more than one of the neighbors have 
V={1}
, assign one of the 
labels to 
p
and make a note of the equivalences. 
Character segmentation is an operation that seeks to decompose an 
image of a sequence of characters into sub-images of individual symbols. 
There are three main segmentation techniques such as Explicit Segmentation 
(Pure Segmentation), Implicit Segmentation (Recognition Based 
Segmentation) and Holistic (Segmentation Free). In Explicit Segmentation, 
the input image is divided into sub-images of characters which are classified 
lately. However, in Implicit Segmentation, the system searches the image for 
components that match classes in its alphabet. The last technique recognizes 
an entire word as a unit which brings a drawback. Since this technique do 
not deal directly with letters but only with words, recognition is necessarily 
constrained to a specific lexicon of words. 
References 
[1] S.K.a.H.F., “Connected Component Labeling Algorithm for very complex and high 
resolution images on an FPGA platform,” in 
German Aerospace Center and German 
Space Operations Center
, Wessling.
[2] B.M. &. V. B., “Analysis of Segmentation Performance on the CEDAR Benchmark 
Database,” in 
6th International Conference on Document Analysis and Recognition
, 
Seattle, 2001.
[3] G.R and W. R, “Digital Image Processing,” in 
Addison-Wesley Publishing Company
, New 
York, 1992.