شماره ركورد كنفرانس :
144
عنوان مقاله :
Application of Intelligent Systems for Iranian License Plate Recognition
پديدآورندگان :
Salahshoor Mohammad نويسنده , Broumandnia Ali نويسنده Department of Computer engineering South Tehran branch, Islamic Azad University, Tehran, Iran , Rastgarpour Maryam نويسنده
كليدواژه :
License Plate Recognition , Plate Localization , Character Segmentation , Feature Extraxtion , Bernsen Thresholding
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
چكيده فارسي :
Despite recent advances in Vehicle License Plate
Recognition Systems (VLPRS), there are still several challenges in
these systems such as incompatibility with different conditions.
These incompatibilities are caused by some reasons including
shadows, skews and dirt on license plate, changing illumination
intensity, weather conditions, varying distance between camera
and vehicle and rotation of license plates. This paper investigates
the challenges related to shadows on license plate, changing
illumination intensity and other similar cases. They will be solved
by the Bernsen thresholding method along with other new
techniques. Moreover, the proposed approach tries to provide a
rotation and size invariant system. It consists of three stages:
plate Localization by horizontal projection and Sobel filter,
character segmentation stage through vertical projection, and
character recognition by 4-directional distance profile features.
This paper uses a database containing 400 images of vehicles
under complicated and non-uniform conditions whereas 200
images for training and 200 images for system evaluation. The
accuracy rate obtained in the above three stages is 88, 85.6 and
96.02 percent respectively
شماره مدرك كنفرانس :
3817034