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Abstract

Automatic license.plate.recognition is.the.task.of.extracting vehicle.registration plates and.labeling it for.its underlying id entity.license. It.uses optical.character recognition on images to read.symbols present.on the license plates. Generally, license.plate.rec ognition system.includes the.plate localization, segmentation, character extraction and.labeling. This research paper describes machine learning based.automated.Indian license plate recognition model. Various image processing algorithms are.implemented.to detect.licen se.plate.and.to extract individual.characters from it. Recognition system then uses Support.Vector Machine (SVM) based.learning and. prediction on calculated.Histograms.of.Oriented.Gradients (HOG) features from each character. The system is evaluated.on self-create d.Indian license.plate dataset. Evaluation accuracy.of.license plate character dataset.is obtained.as; 6.79% of.average system error rate, 87.59% of.average precision, 98.66% of.average recall.and 92.79% of.average.f-score. The.accuracy of.the.complete license.plate label ing experiment.is obtained.at.75.0% . Accuracy.of.the automated.license plate recognition is greatly influenced.by.the segmentation acc uracy of.the individual.characters along with the.size, resolution, pose, and.illumination of. the.given image.

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