1. Submitted by ANGELA LINCY.J(99310104300) RENJU.K.S(99310104039) ELCY GEORGE(99310104014) GUIDE NAME: Mrs. J. SAHAYA JENIBA ASSISTANT PROFESSOR, COMPUTER SCIENCE DEPARTMENT, LITES. EFFECTIVE AND EFFICIENT AUTOMATIC LICENSE PLATE RECOGNITION

2.  Automatic License Plate Recognition  The main aim to achieve better quality of license plate recognition.  Deals with the multi style plate problem.  Fast vertical edge detection algorithm (VEDA)

3.  Preparing images for measurement of the features and structures present.  The digital image can be optimized.  ALPR recognizes a vehicle’s license plate number from an image.  Facilitate the systematic performance assessment.

4.  Connected component analysis (CCA) is an important technique  Convert the direction of the character strokes into one code  contour detection algorithm is applied

5.  Cost is high.  Feature extraction taken time.  bad quality images.

6.  Fast vertical edge detection algorithm (VEDA) was proposed for license plate extraction.  license plate recognition-based strategy for checking inspection status of motorcycles.  license plate detection method based on sliding concentric windows and histogram.

7.  Simplicity.  Highly improve the system performance.  Analyzing texture in unlimited orientations and scales.

9.  ALPR should concentrate on multi style plate recognition  sliding concentric windows are used for the detection purpose.  Fast vertical edge detection algorithm (VEDA) we recognize the License plates.  Facilitate the systematic performance assessment

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