Biometrics is the automated method of recognizing a person based on their physiological and behavioral characteristics. It is considered to be the new digital key for the tech-savvy digital world. A biometric system operates in two modes, Identification and verification. There is a wide gamut of biometric modalities, of which, the fingerprints are popularly accepted as the unique technology in various fields and industries. This paper deals with three different thinning algorithms. The proposed work establishes the effect of thinning on fingerprints along with minutiae extraction and texture feature analysis. The thinning algorithms such as Zhang-Suens, Halls and Guo-Halls have been implemented to aggrandize the fingerprints for best quality. The thinning algorithms have been compared with respect to extraction of minutiae. The minutiae points obtained have been used to expound the precision rate of fingerprints after processing. The simulations have been carried out and the experimental results have been analyzed.