An Automatic Abnormal Data Elimination Method Towards A Higher Quality Finger Vein Dataset
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1 An Automatic Abnormal Data Elimination Method Towards A Higher Quality Finger Vein Dataset Liao Ni Advisor: Wen-xin Li
2 Outline Motivation Proposed Method Experiments and Results Performance Evaluation Conclusion and Future work Page 2
3 Motivation Since 2009, we have collected a finger vein data set in the millions through PKU sports attendance checking system based on finger-vein recognition Problems during the collection: malfunction of users users registered more than one ID cards users put in the wrong finger users put finger in a wrong way bad environment lighting capture device fault Page 3
4 Motivation abnormal data Interclass low-quality image(interlqi):unexpected high-similarity To propose a method to automatically detect and delete the abnormal data with a reasonable cost to get a higher quality finger vein dataset for the use of further research. Intraclass low-quality image(intralqi):unexpected low-similarity Page 4
5 percentage Proposed Method Get the matching scores of each pair in the image set using a good algorithm % Score Distribution 20.00% genuine 15.00% imposter 10.00% 5.00% 0.00% score Page 5
6 percentage IntraLQI Process 8.00% 6.00% 4.00% 2.00% 0.00% Genuine Score AVE genuine m STD score Threshold Threshold Calculating Formula AVE - m STD efficient for various algorithm Chebyshev's Theorem: For any set of observations (sample or population), the proportion of the values that lie within m standard deviation of the mean is at least 1-1/ m2, where m is any constant greater than 1. Page 6
7 其他 percentage IntraLQI Process Challenge inaccuracy of the algorithm Indicator LR(Lifting Rate) = Method EER original EER set number original set number get matching score of each pair from the same class identify IntraLQI with score lower than threshold AVE 1.55 STD 40.00% 30.00% 20.00% 10.00% 0.00% IntraLQI Score scores remove the whole class which IntraLQI is related to bad but normal data real abnormal data Page 7
8 percentage 其他 InterLQI Process Challenge inaccuracy of the algorithm Method InterLQI Score % 50.00% 0.00% score bad but normal data real abnormal data get matching score of each pair from different classes identify InterLQI with score higher than threshold AVE 1 STD remove the whole class which InterLQI is related to Page 8
9 Experiment experimental purpose determine the coefficient of the threshold calculating formula evaluate the performance of the method experimental condition experimental platform: RATE* GOOD algorithm: the algorithm currently run on the attendance system data source: 1009 classes gathered during spring semester ( marked InterLQI) RATE*(Recognition Algorithm Test Engine): rate.pku.edu.cn Page 9
10 Performance Evaluation I purpose to verify the method is effective on different datasets process choose a certain algorithm to be the GOOD algorithm in the method. Apply the method on different sets. result Dataset Original Set Number Processed Set Number Original EER(%) Set Processed EER(%) Set analysis reasonable cost, higher quality Page 10
11 Performance Evaluation II purpose to verify the method is effective for different algorithms process choose different algorithms to be the GOOD algorithm in the method. Apply the method on a certain set. Run another verification algorithm on the original set and processed set. result GOOD Algorithm/ Verification Algorithm Algorithm1/Algor ithm2 Original Set Number Processed Set Number Original EER(%) Processed EER(%) Algorithm3/Algor ithm1 analysis reasonable cost, higher quality Page 11
12 Conclusion and Future Work Conclusion Propose a method to be applied on finger vein dataset to automatically detect and delete its abnormal data. And we validate its effectiveness through comprehensive experiments. Future Work For a continually increasing date set, how to make use of the proposed method to incrementally detect and delete its abnormal data remains to be solved. Page 12
13 Thanks Thank the teachers! Thank my advisor! Thank those who have helped me during the work! Page 13
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