Fingerprint Image Enhancement Using Type-2 Fuzzy Sets

High-quality images are a prerequisite for accurate matching of fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded or corrupted due to variations in skin and impression conditions. Thus, fingerprint images must be enhanced before use. In this work, we demonstrate the efficacy of applying type-2 fuzzy logic to fingerprint image enhancement when the input is pre-processed by the Hong´s algorithm. We have measured the fuzzy quality visually and quantitatively to note the effectiveness of the proposed technique for enhancement.