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A Review on Gender Classification Using Association Rule Mining and Classification Based on Fingerprints
Mishra A,
Published in IEEE
Pages: 930 - 934
Fingerprint recognition for Gender classification method done through various techniques like Support Vector Machines (SVM), Neural Network (NN), Fuzzy- C Means (FCM). This study highlights the various ridge related methods like fingerprint ridge count, ridge density, ridge thickness to valley thickness ration, ridge width and fingerprint patterns used for gender identification.[4] This paper presents Gender classification using association rule mining and classification approach. Our aim to Gender Classification uses Data Mining Techniques Association and classification to get encourage the results. © 2015 IEEE.
About the journal
JournalData powered by Typeset2015 Fifth International Conference on Communication Systems and Network Technologies
PublisherData powered by TypesetIEEE
Open Access0