งานนำเสนอเรื่อง: "Journal of theoretical and applied information technology"— ใบสำเนางานนำเสนอ:
1 Journal of theoretical and applied information technology FINGER-KNUCKLE-PRINT RECOGNITION BASED ON LOCAL AND GLOBAL FEATURE SETSJournal of theoretical and applied information technology15 December 2012
2 FKP recognition based on local and global Local and global information is crucial for the image perception.FKP recognition approach using two complementary feature extraction algorithmsDiscrete Cosine Transform (DCT)Encodes FKP texture and edge information in the frequency domainLocal Binary Patterns (LBP)texture in the spatial domainThe Support Vector Machine (SVM) is used for classification.Combining classifiers.
10 Classifier combination scheme Score level fusionCombination of matching score. (sum)Normalization is required to transform these scores into a common domain before combining them.Normalization can be performed using the Min-Max and Gaussian normalization.Decision level fusionUsing a variety of strategies like majority voting.The class which receives the largest number of votes is then selected as the majority decision.
11 Classifier Combination Scheme DCTFeaturesSVMclassifierscoreCombination of scoreMajorityVote RuleDecisionscoreLBPFeaturesSVMclassifier