Architecture and design of an RDF system
Pattern form recognition

An RDF system is made up of several modules, as illustrated in figure 2. The first module is a data acquisition module. This may be a camera in a vision task, a microphone for speech or sound, etc. The second module is a feature pre-processing and extraction module. The aim of this module is, on the one hand, to calibrate the collected data so as to extract information that is as standardized and noise-free as possible and, on the other hand, to extract relevant features that are the least voluminous but sufficiently rich to enable the targeted task to be carried out efficiently. The third module is the recognition module itself.