The human visual system is incredibly good at locating and analysing written words in the world around us - which makes it easy for us to forget what a difficult task this is.
SceneReader's success in tackling this tough real-world problem lies in its use of the Foveola shape recognition technology, a wholly new approach inspired by Nobel-prizewinning research into the primate visual system.
Foveola provides significant advantages over traditional character recognition methods, allowing SceneReader to operate without time-consuming and brittle pre-training procedures.
SceneReader is a new software technology designed to locate, analyse and report alphanumeric text in a broad variety of photographic images, including highly complex images such as street scenes.
SceneReader is supplied as an ANSI-C programming library, which can be used by your own applications to add text recognition capabilities like this.
The SceneReader API is simple to use, with only three inputs:
In its simplest configuration, SceneReader requires no user pre-configuration or training; it can be immediately applied to your image collection using the standard font knowledgebase and general-purpose dictionary.