01319nam a22001337a 4500 55977 55974 Shaikh, Zuhaib Ahmed 13MCSE07 Supervisor Dr . Umair Ali Khan Automatic Number Plate Detection & Recognition System (ME Thesis) Nawabshah: QUEST, 2014. 44p, : ABSTRACT License plate detection and recognition has become of significant interest since the number of vehicles has increased substantially. "Ihcrefore, the need to perform. automatic toll collection, tramc law enforcement, parking lot access control, etc. has also been increased. proposed scheme discusses a license plate detection and extraction method which comprises three steps: l) Felzenszwalb's Histogram of Orientated Gradient method to extract the license plate's features and feeding those to train Structural Support Vector Machine for training detector, 2) applying trained detector for detection of license plate from a scene, and 3) extraction of the text/numbers from the detected region using image enhancement techniques and Tesseract-OCR. This proposed scheme results in a reliable technique having higher accuracy with reasonable computational requilernent. Department of Computer System Engineering https://tinyurl.com/mrz434fp THESIS 0 0 0 0 RESEARCH RESEARCH 2016-11-23 0 MP/08-76 2016-11-23 00:00:00 THESIS 0 0 0 0 RESEARCH RESEARCH 2018-09-25 0 MP/24-245 2018-09-25 00:00:00 2018-09-25 THESIS