BIOMETRIC and BIO-MEDICAL based on Embedded System
A HYBRID TECHNIQUE FOR LICENSE PLATE
RECOGNITION BASED ON FEATURE SELECTION OF
WAVELET TRANSFORM AND ARTIFICIAL NEURAL
NETWORK
ABSTRACT
A number of vehicles may be controlled and supervised by traffic security
and its management. The License Plate Recognition is broadly employed in traffic
management to recognize a vehicle whose owner has despoiled traffic laws or to
find stolen vehicles. Vehicle License Plate Detection and Recognition is a key
technique in most of the traffic related applications such as searching of stolen
vehicles, road traffic monitoring, airport gate monitoring, speed monitoring and
automatic parking lots access control.
It is simply the ability of automatically extract and recognition of the vehicle
license number plate's character from a captured image. Number Plate Recognition
method suffered from problem of feature selection process. The current method of
number plate recognition system only focus on local, global and Neural Network
process of Feature Extraction and process for detection.
The Optimized Feature Selection process improves the detection ratio of
number plate recognition. In this paper, it is proposed a new methodology for
`License Plate Recognition' based on wavelet transform function.
BIOMETRIC and BIO-MEDICAL based on Embedded System
EXISTING SYSTEM
A hybrid solution is presented with combining basic machine vision
techniques and neural networks. This model consists of three main parts, including
localization, segmentation and recognition. In the license plate localization, it
cannot find edges; the 8-connectivity of image background can’t eliminate.
DISADVANTAGE
 accuracy is over 91% on localizing vehicle license plate

The character recognition system recognizes alphabets with probability over
97% and over 94% in case of numbers.
PROPOSED SYSTEM
This proposed methodology compare with Correlation based method for
detection of number plate. Empirical result shows that better performance in
comparison of correlation based technique for number plate recognition. Here, it is
modified the Matching Technique for number plate recognition by using MultiClass RBF Neural Network Optimization.
ADVANTAGE
 here computer vision and character recognition algorithm used for license
plate recognition

security awareness is increased
 it also monitoring the unauthorized vehicles entering private area
BIOMETRIC and BIO-MEDICAL based on Embedded System
BLOCK DIAGRAM
HARDWARE REQUIREMENTS
 Video camera
 PC (or) Laptop
 Micro controller 8051
 Serial Port
 Power supply
 LCD display
 Motor
SOFTWARE REQUIREMENTS
 PROTEUS SOFTWARE
 KEIL COMPLIERS