Our goal is to implement finger print recognition on the PXA27x DVK platform in view of increasing popularity of biometric security for digital handheld devices. To this end we are using Siemens ID Mouse finger print capture device mentioned in [5] that scans the finger print and gives out a high quality image while maintaining sub-pixel geometric accuracy. This image will then be stored and pr...

Our Project is to overcome drawbacks in the current techniques for touch-less fingerprint recognition. We focus mainly image preprocessing, feature extraction and feature match. Each task analyzed by classical and up-to-date methods. Depending on the analysis, an integrated solution for demonstration of fingerprint recognition is developed. Our demonstration program is coded by MATLAB. To impro...

This paper is the implementation of fingerprint recognition system in which the matching is done using the Minutiae points. The methodology is the extracting & applying matching procedure on the Minutiae points between the sample fingerprint & fingerprint under question. The main functional blocks of this system follows steps of Image Thinning, Image Segmentation, Minutiae (feature) point Extra...

The biometric systems that source the single biometric identifier with the purpose of personal identification are considered poor in the performance evaluation of requirements. In this paper the study of fingerprint verification is carried out using the integration of three unimodal techniques. A Fuzzy based decision making model is employed for accepting inputs from three recognition methods t...

An audio finger print is a small set of features that uniquely identifies a song. An audio fingerprint can be used for broadcast monitoring, audience measurement, meta-data collection. The general framework for building an audio fingerprint includes a frontend and a finger print modeling block. This paper details various uses and properties of an audio fingerprint and also the various stages in...

In this paper, we propose a new finger multi-biometric cryptosystem using feature-level fusion to simultaneously protect multiple templates of fingerprint, finger vein, finger knuckle print and finger shape traits as a single secure sketch. We theoretically analyze the featurelevel fusion for finger multi-biometric cryptosystem with respect to their impact on security and recognition accuracy. ...