TY  - JOUR
T1  - Neuro-Fuzzy Approach for Pattern Recognition
AU - , T. Jebarajan AU - , S. Arumugam AU - , M.C. Loraine Charlet Annie AU - , D.C. Joy Winnie Wise 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 4
SP  - 288
EP  - 292
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.288.292
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.288.292
KW  - Clustering
KW  -matching
KW  -objects
KW  -pattern recognition
KW  -fuzzy
KW  -c-means
KW  -k-means
AB  - An efficient and robust Pattern recognition algorithm is proposed in this study. The study makes an analysis on the popular classification and recognition algorithms, understanding their drawbacks adds features to the Fuzzy C-means classification algorithm, employs a feature extraction algorithm using wavelet and a hierarchical matching strategy in the recognition phase so as to accelerate matching process.
ER  -