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The Effect of Retro-reflectivity and Reflectance of UK Number Plates on ANPR Performance

R. Gurney, M. Rhead, S. Ramalingam, W.E. Martin, N. Cohen
2013 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013)  
The UK police service is one of the biggest users of ANPR technology in the world and over a number of years Police Forces have reported variances in ANPR performance based upon the retro-reflectivity  ...  The retro reflective properties of number plates in the Infra-Red can depart significantly from visible light performance.  ...  Further research into ANPR Camera Settings is reported by the authors in "The effect of ANPR Camera Settings on System Performance" [11] Acknowledgements This research has only been made possible through  ... 
doi:10.1049/ic.2013.0264 dblp:conf/icdp/GurneyRMRC13 fatcat:qmkoz4sesfglbf2hriuc54ewli

Accuracy of automatic number plate recognition (ANPR) and real world UK number plate problems

Mke Rhead, Robert Gurney, Soodamani Ramalingam, Neil Cohen
2012 2012 IEEE International Carnahan Conference on Security Technology (ICCST)  
This paper considers real world UK number plates and relates these to ANPR. It considers aspects of the relevant legislation and standards when applying them to real world number plates.  ...  The varied fixing methodologies and fixing locations are discussed as well as the impact on image capture.  ...  It would be illegal to use retro-reflective fixings on a number plate.  ... 
doi:10.1109/ccst.2012.6393574 dblp:conf/iccst/RheadGRC12 fatcat:6nxsquicm5cyri745hh3xkrfbe

The effect of ANPR Camera Settings on System Performance

R. Gurney, V. Lyons, M. Rhead, S. Ramalingam
2013 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013)  
This primary research has been conducted with the aim of better understanding the effect of ANPR camera settings on the performance of imaging systems used by the Police and other Law Enforcement Agencies  ...  Law Enforcement agencies in the UK have utilised Automatic Number Plate Recognition (ANPR) technology for several decades with a number of high profile crime detection successes.  ...  Mark Jones of the Home Office and Detective Superintendent Paul Ealham of the ACPO ANPR Countermeasures Group warrant special mention for the strategic support that they have given to this work.  ... 
doi:10.1049/ic.2013.0276 dblp:conf/icdp/GurneyRLR13 fatcat:7pnaeqb2cvcxbczvvd45mteiea

Automatic make and model recognition from frontal images of cars

Greg Pearce, Nick Pears
2011 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
Several different feature detection approaches are investigated and applied to the problem including a new approach based on Harris corner strengths.  ...  Our system is able to classify vehicles with 96.0% accuracy, tested using leave-one-out cross-validation on a realistic dataset of 262 frontal images of cars.  ...  Although this amounts to manual intervention, license plate localisation is a mature, high performance technology particularly when using active (LED) light projection onto the retro-reflective plate surface  ... 
doi:10.1109/avss.2011.6027353 dblp:conf/avss/PearceP11 fatcat:w7s64mxxwvduzbi4pcgvk2ve7u

Discrete and Connected Characters Recognition from Multi-Line License Plates Using Image Processing and Adaptive Neuro Fuzzy Inference System

Abu Jar Minhuz Uddin Ahmed, Anwar Uddin, Asadur Rahman
2021 Array  
Therefore an effort has been made to process images of the rotated multi-line license plates to retrieve their original orientations and then extract and order all the characters sequentially accordingly  ...  Character recognition techniques might be available for some popular languages; still, they are not becoming effective due to the lack of pre-processing of the images.  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1016/j.array.2021.100063 fatcat:u3ozppe5lfbo5dr5vvrf43jp54