Fingerprint Pre-processing and Features Extraction

Abstract

Fingerprint is broadly utilized biometric recognizable proof to distinguish the personality of a man due unwavering quality and adequacy. Identification based on biometric is a well-known technique that recognizes identity of a person. Fingerprint identification system contains pre-processing (PP), features extraction (FE) and matching. In this study, we discussed about pre-processing (PP) and features extraction (FE). The pre-processing steps contain in this study are segmentation, normalization, Gabor filter. The main purpose of preprocessing steps is enhancement of fingerprint image. In features extraction we are using thinning and minutiae detection. Experimental results are very encouraging and indicate that fingerprint enhancement and minutiae extraction improves the performance of fingerprint for matching purpose.

Keywords: Biometrics, fingerprint (FP), identification, enhancement, minutiae extraction (ME), Gabor filter (GF), ridge ending, bifurcation

Cite this Article

Vinni, Priyanka. Fingerprint Pre-processing and Features Extraction. Journal of Advancements in Library Sciences. 2018, 5(3): 40–45p