Siemens Aktiengesellschaft

Seimens Aktiengesellschaft

Bernd Schuermann

Gustavo Deco

In a pattern recognition system, a pattern which is to be recognized later is prescribed in a learning phase. This pattern is detected sequentially, that is to say the informative areas of the pattern are detected and, moreover, the spatial relationship between the areas is also stored. In the recognition phase, a hypothesis which indicates a presumed pattern and, furthermore, indicates where such further prominent areas should be located in the pattern to be recognized if the presumption is correct, is generated on the basis of the acquired data of a first area of a pattern to be recognized, and on the basis of the stored data. Thus, patterns are learned through their location information, on the one hand, and through their spatial relationship to each other, on the other hand, stored and then re-recognized. The application options of the present invention reside, for example, in robotics, text analysis and image analysis, but also in the field of medical technology (for example in automatic tumor detection in mammographies, etc).

Pattern recognition

The present invention relates to a system and a method for recognizing a prescribed object, having a storage device for storing attribute information relating to the prescribed object, detecting means for detecting attributes in a detection range and for outputting corresponding detection information, first processing means for processing, in parallel and separately for each possible attribute type, the detection information for the detection means by using the attribute information from the storage device and for outputting corresponding processing information, and second processing means for processing the process information from the first processing means and for outputting the information for determining the position of the prescribed object in the detection range.

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Haimhausen, Germany

Bernd Schuermann