Fingerprint Classification with Combinations of Support Vector Machines

Abstract. We report about some experiments on the fingerprint database NIST-4 using different combinations of Support Vector Machine (SVM) classifiers. Images have been preprocessed using the feature extraction technique as in [10]. Our best classification accuracy is 89.3 per

• Type: Conference
• Year: 2001
• Where: AVBPA
• Authors: Yuan Yao, Paolo Frasconi, Massimiliano Pontil
• Keywords: AVBPA 2001, Biometrics, Feature Extraction Technique, Fingerprint Database, Support Vector Machine