LQM: Localized Quality Measure for Fingerprint Image Enhancement

Image Quality Measures for Fingerprint Image Enhancement

Fingerprint image quality is an important factor in the performance of Automatic Fingerprint Identification Systems(AFIS). It is used to evaluate the system performance, assess enrollment acceptability, and evaluate fingerprint sensors. This paper presents a novel methodology for fingerprint image quality measurement. We propose limited ring-wedge spectral measure to estimate the global fingerp...

Adaptive fingerprint image enhancement with fingerprint image quality analysis

Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we prop...

Histogram Binarization Method for Fingerprint Image Enhancement

Fingerprint identification and matching are the most important areas in digital image processing. Fingerprint identification is a prominent method of biometric identification. The quality of the fingerprint image is a significant one for a reliable matching process. The quality of the image can be enhanced at the preprocessing stage of image processing. In this paper we describe a fuzzy modelin...

Knowledge Based Fingerprint Image Enhancement

Fingerprint enhancement is a critical step in fingerprint identification. Most of the existing enhancement algorithms are based on local ridge direction. The main drawback of these methods lies in the fact that false estimate of local ridge direction will lead to poor enhancement. But the estimate of local ridge directions is unreliable in the areas corrupted by noise where enhancement is most ...

Fingerprint Image Quality