(00511) 99-32-90-165
INQUIRIES TO: MR. CENTANNI
12(Based on C++)
Franco Amato's team
244.2
Ma and Tan
426.8
Tan
170.3
Boles
210.0
Wildes
682.5
Daugman
Feature Extraction(ms)
Methods Processing time ( The algorithm results are in Matlab 6.0 using the following hardware: PC a 500-MHz with 128 MB RAM. our implementation are in C++ with a PC 1.6 GHz con 512 MB RAM): 0.67 Franco Amato's team 2.39 Hugo Proenca and Luis A. Alexandre 3.41 Daugman Original FRR, FAR =0(%) Classification Strategy 9.9 Franco Amato's team 16.49 Hugo Proenca and Luis A. Alexandre 22.95 Daugman Original FRR, FAR = 0(%) Classification Strategy UBIRIS DataSet Results in Verification mode ( Compared with the most famous algorithm from Dr.Daugman with CASIA y UBIRIS databases) 100 Franco Amato's team 100 Ma and Tan[New] 99.60 Tan[Previous] 100 Daugman 92.64 Boles Correct recognition rate (%) Methods Results in Identification mode ( with CASIA databases ): After years of research, Mr. Franco Amato (Turin polytechnic graduate) and his team finaly finished the iris recognition algorithm with the following impresive results: Dear investors, |
******SELL Iris recognition algorithm exclusive rights for $10 Millions.***********
Place of Origin: | Peru |
Model Number: | Sell Iris recognition algorithm |
Brand Name: | Sell Iris recognition algorithm |
Type: | Other |