A Recognition System Using Probabilistic Decisions Based on Extracted Features
Proceedings of the First International Joint Conference on Artificial Intelligence. Pictorial Pattern Recognition. Pages 171-182.
Abstract
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 picture belonging to a given class given the presence of each incoming feature. During the test mode, a previously unseen set of pictures is used and features are extracted and compared with the stored descriptors. A sequential decision mechanism uses these comparisons and the likelihood statistics to produce responses corresponding to the assessed class of the input. Some preliminary experimental results are given.
@inproceedings{ijcai1969p17,
title = {A Recognition System Using Probabilistic Decisions Based on Extracted Features},
author = {Murden, P. and Symons, M.},
booktitle = {Proceedings of the First International Joint Conference on
Artificial Intelligence, {IJCAI-69}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Donald E. Walker and David C. Cooper},
pages = {171--182},
year = {1969},
month = {5},
note = {Pictorial Pattern Recognition},
url = {https://ijcai.org/proceedings/1969/17},
}
TY - CPAPER TI - A Recognition System Using Probabilistic Decisions Based on Extracted Features AU - Murden, P. AU - Symons, M. T2 - Proceedings of the First International Joint Conference on Artificial Intelligence, IJCAI-69 PB - International Joint Conferences on Artificial Intelligence PY - 1969 SP - 171 EP - 182 UR - https://ijcai.org/proceedings/1969/17 ER -Copied
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