Fixed the Issue #12 (closed) by modifying the HE function in FingerCrop.py to rescale the intensity of the histogram equalized image back to the range (0, 255), thereby avoiding the need to modify the binarization thresholds. Seems to work - "extracted" feature arrays are now binary and the score files do not contain "nan"s.FingerCrop.py

Closes #12 (closed)