  Smart automated traffic enforcement solutions have been gaining popularity in
recent years. These solutions are ubiquitously used for seat-belt violation
detection, red-light violation detection and speed violation detection
purposes. Highly accurate license plate recognition is an indispensable part of
these systems. However, general license plate recognition systems require high
resolution images for high performance. In this study, we propose a novel
license plate recognition method for general roadway surveillance cameras.
Proposed segmentation free license plate recognition algorithm utilizes deep
learning based object detection techniques in the character detection and
recognition process. Proposed method has been tested on 2000 images captured on
a roadway.
