Number Plate Recognition Based on Multi Feature and Character Recognition
Main Article Content
Abstract
Intelligent transportation system has become an integral part of the transportation system and it consists of number plate recognition.
A recognition system implemented to control the payment of fees in parking areas, highways, airport or harbour cargo control etc. There are
considered an approach to identify the vehicle through recognizing of its license plate using multi feature recognition and neural network
techniques. Multi feature recognition is to enhance several features of for target. The proposed method use improved character recognition by
through setting proper numbers of hidden layers in the character kinds. This method can improve the efficiency and accuracy of vehicle number
plate recognition.
Multi pattern recognition is an algorithm for recognition of multi feature concept into the information. Proposed method solves the number
plate with colour features as well as texture features and back ground features. By using multi feature concept problem of the ambiguity of
character recognition can be solved. After using multi feature concept for number plate positioning, it can be obtained the projection of
histogram mainly through a threshold. The result of number plate recognition is to change the plate character in to text character. Using back
propagation of neural networks to resolve complex characters number plate and defective characters, and avoid heavy data analysis and
mathematical modelling works. Recognition problems of automobile number plate such as character kinds, the numbers, and confusing of words
can also be solved
Keywords: fuzzy theory; number plate recognition; character recognition.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.