000			01319nam a22001337a 4500
999			_c55977 _d55974
100			_aShaikh, Zuhaib Ahmed _a13MCSE07 _aSupervisor Dr . Umair Ali Khan
245			_aAutomatic Number Plate Detection & Recognition System (ME Thesis)
260			_aNawabshah: _bQUEST, _c2014.
300			_a44p, :
500			_aABSTRACT 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.
700			_aDepartment of Computer System Engineering
856			_uhttps://tinyurl.com/mrz434fp
942			_cTHESIS