minutiae points in a fingerprint image. For each minutiae point in a fingerprint, ak-NNS is
constructed taking the local and global features of minutiae points. This structure is
quantized and mapped onto a 2D array to generate a fixed length 1D bit-string. Further this
bit string is applied with a DFT to generate a complex vector. Finally the complex vector is
multiplied by a user specific random matrix to generate the cancelable template. We tested …