creator Xia, Yong advisor Saniie, Jafar License Plate Recognition (LPR) is an image-processing technology, also known as Automatic Number Plate Recognition (ANPR). This technology is very popular in fighting crime, locating stolen car, identifying parking-ticket and so on. In LPR system, the image is taken of the front or rear of the car and its quality needs to be enhanced for further process. With this enhanced image, first license plate region is located and extracted. Then character segmentation is performed on extracted license plate image. In this thesis, we use K Nearest Neighbor (KNN) algorithm to recognize these segmented characters. Keywords: LPR, Plate location, character segmentation, Image Processing, KNN Submitted by Liana Khananashvili (khananashvili@iit.edu) on 2013-08-21T20:06:16Z No. of bitstreams: 1 yong_thesis.pdf: 1159731 bytes, checksum: 678b1c879aaccd4ecd9460e0d94dba67 (MD5) Made available in DSpace on 2013-08-21T20:06:16Z (GMT). No. of bitstreams: 1 yong_thesis.pdf: 1159731 bytes, checksum: 678b1c879aaccd4ecd9460e0d94dba67 (MD5) Previous issue date: 2012-12 M.S.in Electrical Engineering, December 2012 2012-12-03 2012-12 http://hdl.handle.net/10560/3048 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department