kjanko/python-fingerprint-recognition

Fingerprint recognition with OpenCV

python-fingerprint-recognition's Issues

image_enhance.image_enhance

I try to run the code in terminal but its not running and if I give path then many modules are not present and what do we have to write in os.chdir...please share a screenshot on how to run and does it return feature matrix?

Execution arguments

Can I have the CMD to pass on the terminal so that I can execute the code

error shape

i have the next error in terminal:

Traceback (most recent call last):
File "app.py", line 109, in
main()
File "app.py", line 77, in main
kp1, des1 = get_descriptors(img1)
File "app.py", line 45, in get_descriptors
img = image_enhance.image_enhance(img)
File "C:\Users\Jacozsz\Downloads\python-fingerprint-recognition-master\enhance\i
mage_enhance.py", line 15, in image_enhance
normim,mask = ridge_segment(img,blksze,thresh); # normalise the
image and find a ROI
File "C:\Users\Jacozsz\Downloads\python-fingerprint-recognition-master\enhance\r
idge_segment.py", line 61, in ridge_segment
rows,cols = im.shape;
AttributeError: 'NoneType' object has no attribute 'shape'

In line 88 of ridge_filter.py : float can't be treated as integer

original code :
gabor_filter = np.array(np.zeros((180/angleInc,filt_rows,filt_cols)));

should be :
gabor_filter = np.array(np.zeros((180//angleInc,filt_rows,filt_cols)));

exec user process caused: no such file or directory

hi

here is steps i follow:

git clone https://github.com/kjanko/python-fingerprint-recognition.git
cd python-fingerprint-recognition
docker build -t finger:latest .
docker run -it finger:latest 101_1.tif 101_2.tif

this will produce following error:

Traceback (most recent call last):
  File "/app/app.py", line 1, in <module>
    import cv2
  File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 5, in <module>
    from .cv2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory

different result in raspberry pi

I tried to run the code on raspberry pi, the value of score/len(matches) is different there.
when i run this code on anaconda3 the value is 46 but i receive 15 in raspberry pi.

PSA: all the python idle, libraries are same

็How to modify kjanko to speed up for fingerprint matching?

How to modify kjanko to speed up for fingerprint matching ? If you have upgrade or method anything, you help to recommend, Please.

IndexError: list index out of range

ModuleNotFoundError: No module named 'ridge_segment'

huhfiew

please reply to this isssue

error... Please share how to pass arguments

Traceback (most recent call last):
File "app.py", line 111, in
main()
File "app.py", line 76, in main
kp1, des1 = get_descriptors(img1)
File "app.py", line 45, in get_descriptors
img = image_enhance.image_enhance(img)
File "C:\Users\Pavilion\Downloads\python-fingerprint-recognition-master\python-fingerprint-recognition-master\enhance\image_enhance.py", line 15, in image_enhance
normim,mask = ridge_segment(img,blksze,thresh); # normalise the image and find a ROI
File "C:\Users\Pavilion\Downloads\python-fingerprint-recognition-master\python-fingerprint-recognition-master\enhance\ridge_segment.py", line 61, in ridge_segment
rows,cols = im.shape;
AttributeError: 'NoneType' object has no attribute 'shape'

it is matching only with 1st image in database.

when I gives 2nd image of database as input image then it shows not matched ,please help me out of this

Terminal input

I am getting a error I think its related with input , how did you define your image selecting . I am trying in terminal python3 --101_1.tif
File "C:/Users/BBO/Desktop/python-fingerprint-recognition-master/app.py", line 44
img = clahe.apply(img)
^

You should credit the authors from where you got the code

Hi Kristijan Jankoski,
I was looking at the enhance functions in your code and found that you have obtained the code from my repository https://github.com/Utkarsh-Deshmukh/Fingerprint-Enhancement-Python

I would really appreciate if you would either fork this from the original directory or cite the original repository in your documentation.

Unable to resolve this please help

File "app.py", line 45, in get_descriptors
img = image_enhance.image_enhance(img)
File "C:\Users\Pavilion\Downloads\python-fingerprint-recognition-master\python-fingerprint-recognition-master\enhance\image_enhance.py", line 35,
in image_enhance
newim = ridge_filter(normim, orientim, freq, kx, ky); # create gabor filter and do the actual filtering
File "C:\Users\Pavilion\Downloads\python-fingerprint-recognition-master\python-fingerprint-recognition-master\enhance\ridge_filter.py", line 83,
in ridge_filter
x,y = np.meshgrid(np.linspace(-sze,sze,(2sze + 1)),np.linspace(-sze,sze,(2sze + 1)));
File "<array_function internals>", line 6, in linspace
File "C:\Users\Pavilion\PycharmProjects\office\venv\lib\site-packages\numpy\core\function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

Doesn't work with other dataset. Can you suggest some other dataset to test your code?

Matching Score

Can you please explain how can I get the percentage of matching score?
And also how much is the accuracy of your method?

Failed to match fingerprint keep getting this error when i run cmd python app.py 101_1.tif 101_2.tif

x, y = np.meshgrid(np.linspace(-sze, sze, (2 * sze + 1)), np.linspace(-sze, sze, (2 * sze + 1)))
File "<array_function internals>", line 6, in linspace
File "C:\Users\ICY media\AppData\Local\Programs\Python\Python37\lib\site-packages\numpy\core\function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

OpenCV2

I can't make it work, please tell me witch version of OpenCV2 are you using.
Here are all
https://sourceforge.net/projects/opencvlibrary/

Are 101_2 and 102_2 from one person's fingerprint?

The result shows that the "score/len(matches)" is 21 which is smaller than 33. But I dont think they are from one person's fingerprint.
Another question is how the threshold 33 is given?

Any chance to have the documentation in English?

Hi, not an issue, just a request. Any chance to have the documentation translated into English?
Thanks.

numpy.float64' object cannot be interpreted as an integer

understanding ridge_orient

def ridge_orient(im, gradientsigma, blocksigma, orientsmoothsigma):
Could you please explain in more details about the parameters that are being passed in this function or can you provide any documentation related to this topic .
Thanking you..