NDLI: Vehicle parking inventory system utilizing image recognition through artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Bartolome, L.S. Bandala, A.A. Llorente, C. Dadios, E.P.
Copyright Year	2012
Description	Author affiliation: Electronics Engineering Department, De La Salle University, Philippines (Bartolome, L.S.; Bandala, A.A.; Llorente, C.; Dadios, E.P.)
Abstract	An automated vehicle logging system is introduced in this paper. The system utilizes character recognition through images captured from the entrance of a parking area. These images are processed to extract the licensed plates of any vehicle entering the parking area. Extracted plates images are then converted into numerical forms devised by researchers to fit the requirements of the artificial neural network. From the numbered plate, each character is then extracted to produce their distinct features. Character recognition engine is primarily implemented using feed forward neural networks. There are 50 input neurons which are defined by resizing each character into 25×25 pixel image and summing all the pixel values in each row and each columns resulting to 50 sums. After which a numerical value will be produce and will signify a character equivalent. Characters are recognized separately. This process is done until all of the characters are recognized. Afterwards, these characters are then concatenated to produce the plate number identity. The system is trained using 5860 sets of training data yielding a system with 0.0001645724% error.
Starting Page	1
Ending Page	5
File Size	936886
Page Count	5
File Format	PDF
ISBN	9781467348232
ISSN	21593450
e-ISBN	9781467348249
e-ISBN	9781467348225
DOI	10.1109/TENCON.2012.6412301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-19
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Training Vehicles Character recognition Feature extraction Biological neural networks Image Processing Artificial Neural Networks Plate Number Recognition
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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