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A Recognition System Using Probabilistic Decisions Based on Extracted Features
1969
International Joint Conference on Artificial Intelligence
The paper describes a pattern recognition system that has been simulated using a computer with an on-line camera input. The system is adaptive, using a training set of pictures together with the names or classes to which each picture belongs. The system uses an edge following technique for extracting features from the multilevel inputs. During the training mode, some of the descriptors derived from the extracted features are stored. Also, the system builds up statistics of the likelihood of a
dblp:conf/ijcai/MurdenS69
fatcat:mkaa6wxbzfdxdgq2mxzljqgzlu