Fusion of License Plate and Face Recognition for Secure Parking

2013 ◽  
Vol 61 (1) ◽  
Author(s):  
Siti Salwa Md Noor ◽  
Nooritawati Md Tahir
Keyword(s):  
Face Recognition ◽  
Correlation Energy ◽  
Side Lobe ◽  
Decision Fusion ◽  
License Plate ◽  
Multimodal Biometrics ◽  
Security Enhancement ◽  
Hill Cipher ◽  
Parking Lot ◽  
Unconstrained Minimum

Integration of multimodal biometrics is widely explored for the purpose of security enhancement. Hence, in this research we deemed further to evaluate the integration of car plate and face recognition as security enhancement in parking lot. Firstly, the acquired face and car plate that acted as database is encrypted based on Hill Cipher matrix manipulation using random numbers and Fast Fourier Transform (FFT) as encryption algorithm. Next, Unconstrained Minimum Average Correlation Energy (UMACE) was applied for car plate recognition process during parking entrance in identifying the intruder via Peak to Side lobe Ratio (PSR) value. During exit, UMACE is once again utilized for both plate and face recognition for verification of registered driver based on decision fusion of PSR value. Results attained specifically Total Success Rate (TSR) of 96% during parking entrance along with over 99% during exit at PSR value of 10, confirmed that the proposed method is apt as security in parking space.

scholarly journals Anomaly Detection in Electroencephalogram Signals Using Unconstrained Minimum Average Correlation Energy Filter

2009 ◽  
Vol 5 (7) ◽  
pp. 501-506 ◽  
Author(s):  
Aini Hussain ◽  
Rosniwati Ghafar ◽  
Salina Abdul Samad ◽  
Nooritawati Md Tahir
Keyword(s):  
Anomaly Detection ◽  
Correlation Energy ◽  
Average Correlation ◽  
Unconstrained Minimum

scholarly journals Genre Classification of Traditional Malay Music Using Spectrogram Correlation

2018 ◽  
Vol 7 (4.11) ◽  
pp. 29
Author(s):  
S. A. Samad ◽  
A. B. Huddin
Keyword(s):  
Template Matching ◽  
Correlation Energy ◽  
Recognition Rate ◽  
Salient Feature ◽  
Average Correlation ◽  
Genre Classification ◽  
Average Recognition Rate ◽  
Number Of Segments ◽  
Unconstrained Minimum

A method to classify the genre of traditional Malay music using spectrogram correlation is described.  The method can be divided into three distinct parts consisting of spectrogram construction that retains the most salient feature of the music, template construction that takes into account the variations in music within a genre as well as the music progresses, and template matching based on spectrogram image cross-correlation with unconstrained minimum average correlation energy filters. Experiments conducted with seven genres of traditional Malay music show that the recognition accuracy is dependent on the number of segments used to construct the filter templates, which in turn is related to the length of music segment used. Despite using a small dataset, an average recognition rate of 61.8 percent was obtained for music segments lasting 180 seconds using six relatively short excerpts.  

scholarly journals Conjoint Vehicle License Plate Identification System

2020 ◽  
Vol 14 (1) ◽  
pp. 164-173
Author(s):  
Yair Wiseman
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Automatic Identification ◽  
Identification System ◽  
License Plate ◽  
Vehicle Identification ◽  
Parking Lot ◽  
High Level ◽  
Identification Techniques ◽  
The City

Background: An autonomous vehicle will go unaccompanied to park itself in a remote parking lot without a driver or a passenger inside. Unlike traditional vehicles, an autonomous vehicle can drop passengers off near any location. Afterward, instead of cruising for a nearby free parking, the vehicle can be automatically parked in a remote parking lot which can be in a rural fringe of the city where inexpensive land is more readily available. Objective: The study aimed at avoidance of mistakes in the identification of the vehicle with the help of the automatic identification device. Methods: It is proposed to back up license plate identification procedure by making use of three distinct identification techniques: RFID, Bluetooth and OCR with the aim of considerably reducing identification mistakes. Results: The RFID is the most reliable identification device but the Bluetooth and the OCR can improve the reliability of RFID. Conclusion: A very high level of reliable vehicle identification device is achievable. Parking lots for autonomous vehicles can be very efficient and low-priced. The critical difficulty is to automatically make sure that the autonomous vehicle is correctly identified at the gate.

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