Twiddle factor generation using CORDIC processor for fingerprint application

Fingerprint applications are widely used to identify person´s authenticity. The frequency domain analysis of fingerprint plays an important role for authentication of noisy fingerprint images. This paper proposes a CORDIC algorithm: a unique computing technique suitable for solving trigonometric functions like sine, cosine and arctanto extract features of fingerprint image using FFT for perfect matching. The idea is to reduce the computational complexity of FFT using CORDIC processor. The CORDIC processor is hardware efficient which minimizes the computational complexity for twiddle factor computations. The FFT extract features of fingerprint and is implemented using CORDIC processor which consumes 390 LUTs on VIRTEX 4 FPGA.