With the explosive growth in the number of vehicles in use, automated license plate
recognition (ALPR) systems are required for a wide range of tasks such as law enforcement …

License plate recognition (LPR) algorithms in images or videos are generally composed of
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …

Although various license plate location methods have been proposed in the past decades,
their accuracy and ability to deal with different types of license plates still need to be …

We present a novel statistical shape model approach for fully automatic CT liver
segmentation. Unlike previous techniques, our method combines learned local shape priors …

Automatic vehicle license plate recognition is an essential part of intelligent vehicle access
control and monitoring systems. With the increasing number of vehicles, it is important that …

License plate recognition is a core module for intelligent transportation systems, while
license plate location is an important part of it. Haar-like cascade classifier is good for face …

Cyber-physical systems are not developed as standalone systems, but in conjunction with
other systems and are subsequently aggregated to some super system (ie a car or an …

Street sign identification is an important problem in applications such as autonomous
vehicle navigation and aids for individuals with vision impairments. It can be especially …

US10019626B2 - Method for authenticating a security element, and optically variable security
element - Google Patents US10019626B2 - Method for authenticating a security element, and …

A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern
representations. In implementing Adaboost learning, the proposed algorithm employs an …