akshatapatel / iris-recognition Goto Github PK

ValueError: Expected 2D array, got 1D array instead:
array=[].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

Can you give a link to the article with which you wrote that program?

Good afternoon,

Thank you for your work, but I got so many errors while running the code, may you please help me, I need it as soon as possible for my graduation project.

Best regards,

On which operating system this code works....???

Are they good?

Recognition results using Different Similarity Measures :

Similarity Measure L1
CRR for Original Feature Set 60.87963
CRR for Reduced Feature Set (107) 66.203704
Name: 0, dtype: object

Similarity Measure L2
CRR for Original Feature Set 54.398148
CRR for Reduced Feature Set (107) 73.611111
Name: 1, dtype: object

Similarity Measure Cosine Distance
CRR for Original Feature Set 54.398148
CRR for Reduced Feature Set (107) 75.925926
Name: 2, dtype: object

ROC Measures :

Threshold 0.400000
FMR 0.021739
FNMR 0.700000
Name: 0, dtype: float64

Threshold 0.500000
FMR 0.037634
FNMR 0.605691
Name: 1, dtype: float64

Threshold 0.600000
FMR 0.130303
FNMR 0.401961
Name: 2, dtype: float64

Hi, could you kindly explain how you spited the data into train and test set?

Could you send paper with functions

Hii
Have you used Hamming distance for matching?