The design of a character recognition system for vehicle plate numbers
Date of Publication
2002
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Abstract/Summary
Vehicle identification system using proper image-processing techniques could be achieved using plate number reading with considerably high accuracy and low processing time. The potential of using the back-propagation neural network for plate number recognition is also explored.
Acquisition of the image is done through a real-time web camera designed specifically for that purpose. Image processing techniques are used to extract the characters. Additional processing of the image is done like filtering, segmentation and scaling to the proper pixel size. This prepares the image to be inputted to the neural network.
The back-propagation neural network is applied to the character recognition process. Provided that the training of the neural network is adequate. It will give a satisfactory output.
There are various applications for this research. It can be used for security purposes and automatic plate number encoding in parking lots.
Abstract Format
html
Language
English
Format
Accession Number
TU10947
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
104 numb. leaves ; Computer print-out (photocopy).
Recommended Citation
Aquino, J. L., Lim, R. N., Orduna, C. J., & Reposar, R. D. (2002). The design of a character recognition system for vehicle plate numbers. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11707
