The Recognition Toolkit is an advanced software package designed to assist developers in creating sophisticated object recognition applications. This toolkit originally designed as an add-on module to image processing systems for rapid prototyping also contains many routines that can be used for standalone data analysis. The Recognition Toolkit offers capabilities such as feature extraction, feature evaluation, machine learning, and classification, simplifying the construction of customized image object recognition systems. Developed with a flexible, modern programming language, it leverages the benefits of cutting-edge software design principles.
The Recognition Toolkit is one Part of a Collection of Routines
Demonstration tools and macros assist users in rapidly prototyping automated recognition solutions. Some utilities have been available for download.
The tools includes operators for creating tiled regions, developing statistics on these regions, and merging lines and boxes. These fundamental evaluation, training, and classification operators come with minor parameter variations tailored to the respective platforms.
Tools are separably available for pattern recognition on various data types, including continuous measurement data, discrete data, and symbolic information. Software has been created for classification, training, feature evaluation, clustering, coding, and extraction. The core tools include multiple classifiers, training tasks, an automatic clustering, feature evaluation and analysis tasks, Utilities can handle tasks for preprocessing and building multi-stage classifiers.
Recognition Science is able to use these proven tools to implement rapidly provide state-of-the-art object recognition and data analysis on your data.