1. Group Number5 Group Members Harsh AroraY08UC059 Mayank AgarwalY08UC079 Vishal BharadwajY08UC141 Automatic Number Plate Recognition

2. Input – A still image or a frame extracted from video having a snapshot of a car. Something like fig. below. Output – License number of the vehicle shown in fig. 35AG1799

3. Procedure Plate area detection. Character Segmentation. Optical character recognition. Input Image Plate Area Detection Character Segmentation Optical Character Recognition Output Challenges Associated Enhancing quality of the acquired Image. Plate orientation and sizing Normalization of the image (adjusting brightness and contrast)

4. Approach Plate Detection Plate Cropping Segmentation OCR 35AG1799

5. DateWork 24 th Oct.Build outline of Project 30 th Oct.Number Plate Area detection 7 th Nov.Implement Segmentation 12 th Nov.OCR implementation 13 th Nov.Testing on different acquired images 18 th Nov.Expected Date of Completion 21 st Nov.Final Report Current Status Read few research papers on  Number plate area detection.  Techniques of Segmentation.  Optical Character Recognition. Already started with first phase of the project i.e. Plate Area Detection. Timeline