Tuesday, 21 May 2013
Monday, 20 May 2013
Friday, 17 May 2013
Acknowledgement....
Acknowledegement
Alhamdulillah,
I would like to express the deepest appreciation to my supervisor who has
attitude and substance of a good lecturer Mdm. Siti Hajar Ab Aziz (SHAA) that she
continually and convey a spirit during research due to the project. Without her
guidance and continually help this report would been possible to finish. I would
like to thanks my entire lecturer who advices, suggest a lot of new ideas and
sharing unlimited information and experience through this project “Simulation
of Automatic Number Plate Recognition using Matlab for Toll Payment”.
My
deepest gratitude and love to my friends, parents because supporting along
finishing the project. Lastly thanks to the Universiti Kuala Lumpur British
Malaysian Institute to give me an opportunity to do the project and for
permission to use the equipment as part of my analysis and give a support.
Wednesday, 1 May 2013
Thursday, 25 April 2013
week 14: Industry Day
INDUSTRY DAY
- Project Presentation
- Top 20 Competition
Venue: Gemilang Hall Unikl BMI
Time: 9:00 a.m - 5:00 p.m
Poster for Presentation Day
Wednesday, 17 April 2013
week 13: Blog & Final Report Project
Blog of Final Year Project
- updating the blog with the sources and the progress of project.
Final Year Project Report
- continue with Chapter 4 (result) and Chapter 5 (conclusion and recommendation).
Thursday, 11 April 2013
week 12: Conclusion and Recommendation
Conclusion
- For the whole project, the "Simulation of Automatic Number Plate Recognition using Matlab for Toll Payment" worked well and achieved the objectives of project.
- ANPR system can recognized the character of number plate for both vehicles which is local number plate and also an international number plate.
- Result from this system has made table so that everyone can refer and understand clearly.
Recommendation
The
following things can be enhanced to improve the performance of the ANPR system
which are the plate region extraction system can be improved by including
additional features which are unique to the plat region. These features may be
for instance horizontal and vertical histogram of the internal region, which
shows the presence of characters, can be used to identify similar regions that
may affect the extraction process. Also improved additional features such as
color based techniques can also be used. For the ANPR, improvement in noise
reduction techniques can be suggested in order to improve the segmentation and
classification accuracy.
With
the popularity in Digital Image Processing technology, 3-dimensional image processing
analysis is considerable for the future development.
Subscribe to:
Posts (Atom)