This paper presents a novel technique of fingerprinting analysis using direct imaging instead of traditional fingerprint scanners. Effect of illumination wavelength on the quality of fingerprint images is studied and optimal wavelength for direct imaging is proposed. The results presented can be extended to direct imaging of faces. Keywords—fingerprint; hyperspectral images; fingerprint scanner...

Fingerprint classification consists of labeling a fingerprint impression as one of several major types of fingerprints: arch, left loop, right loop, whorl, etc. The problem of fingerprint matching amounts to deciding whether or not two impressions were produced by the same finger. We propose a model based method for fingerprint classification which only uses the flow field, avoiding the non-tri...

Fingerprint recognition is the reliable and oldest biometrics used for personal identification. Many sensors were developed for fingerprint recognition systems in which the user’s finger print is placed on a sensor. Due to this contact the input fingerprint from the same finger can be different and there can be fingerprint issues which can lead to forgery and hygienic problem. For this reason t...

Protection of biometric template against spoofing or modification attack at system database is major issue in multibiometric system. Hence fragile digital watermarking technique is one of the solutions for biometric template protection against these attacks. In this paper, fingerprint watermarking technique based on SVD and Compressive Sensing theory proposed for protection of biometric templat...

Reconstruction of fingerprint ridge lines is a critical pre-processing step in the identification of poor quality fingerprint images. This paper presents a new fingerprint ridge line reconstruction approach by way of ridge line tracing. In our research, the fingerprint ridge line in a gray scale image is viewed as a track of a ridge segment moving along the ridge. The curve tracing problem is s...

Fingerprints have long been used as a reliable biometric feature for private identification. Fingerprint classification refers to the matter of assignment fingerprints to 1 of many pre specified categories. Automatic classification may be used as a pre-processing step for fingerprint matching, reducing matching time and complexness by narrowing the search area to a set of a usually large info. ...

This paper briefly introduces two classic algorithms for fingerprint image processing, which include the soft threshold denoise algorithm of wavelet domain based on wavelet domain and the fingerprint image enhancement algorithm based on Gabor function. Contourlet transform has good texture sensitivity and can be used for the segmentation enforcement of the fingerprint image. The method proposed...

background: thymus is a widely used medicinal plant in food and pharmaceutical industries. among different species of thymus, t. vulgaris is used more than other species in therapeutic dosage forms. objective: this study was conducted to differentiate various thymus species by tlc fingerprint. methods: in order to identify and differentiate various species of thymus, tlc fingerprints of essenti...

The matching accuracy of the fingerprint templates which were generated by our previously proposed data processing method using the fractional Fourier transform (FRT) was analyzed. The minimum error rate (MER) derived from the false acceptance rate (FAR) and the false rejection rate (FRR) is the criterion of the matching accuracy in this study, and was obtained statistically by the peak value o...

In this report, we derive the error probabilities for the fingerprint database search for sequential trimming and for composite fingerprints as described in [1]. All fingerprints have n pixels and there are N fingerprints in the database. Both n and N may be large (e.g., larger than 10). Formally, matching a query fingerprint to the fingerprint database is a multiple-hypothesis testing problem....