Secure computation with biometric data is a challenging topic and attention to this area has grown during recent years. This is because biometric data is highly sensitive and requires protection when used in a variety of applications including biometric verification and identification. Fingerprint images are one of the most accurate type of biometry used in these applications and they are highl...

Among several biometric traits possible to be used for people identification, fingerprint is still the most used. Current automated fingerprint identification systems are based on ridge patterns and minutiae, classified as first and second level features, respectively. However, the development of new fingerprint sensors and the growing demand for more secure systems are leading to the use of ad...

Fingerprint identification is a growing and popular biometric identification technology. It includes two steps one is fingerprint verification and other is fingerprint recognition. Both of them use minutiae, such as end points and bifurcation points, as features. Therefore, how to appropriately extract minutiae from fingerprint images becomes an important step in fingerprint identification. Ext...

Most of the existing fingerprint retrieval systems are based on the overall characteristics and detailed features of fingerprints, and their performance is poor in the cases of low-quality fingerprint images, such as incomplete fingerprint images. In order to improve the recognition speed, accuracy, and robustness of automated fingerprint recognition systems based on large-scale fingerprint dat...

Fingerprint Orientation estimation is an important step in feature extraction and classification. However, a reliable extraction of fingerprint orientation data is still a challenge for poor quality images. In this paper, a gradient based estimation of orientation field based on the analysis of orientation consistency in the neighborhood for regularizing the orientation field is proposed. Exper...

Fingerprint indexing is an efficient technique that greatly improves the performance of Automated Fingerprint Identification Systems. We propose a continuous fingerprint indexing method based on location, direction estimation and correlation of fingerprint singular points. There have been many approaches introduced in the design of feature extraction. Based on orientation field, Firstly, we div...

There are many people who suffer from some of the skin diseases. These diseases have a strong influence on the process of fingerprint recognition. People with fingerprint diseases are unable to use fingerprint scanners, which is discriminating for them, since they are not allowed to use their fingerprints for the authentication purposes. First in this paper the various diseases, which might inf...

A FPGA implementation of fingerprint sensors scheme is described for removing parasitic offset image on no touch. This paper proposes an effective fingerprint identification system with 160x192 array fingerprint sensor hardware. The proposed calibration scheme initializes a fingerprint sensor LSI to eliminate the influence of offset image by the electrical characteristic difference of pixel arr...

The performance of an automatic fingerprint verification system relies heavily on the quality of the captured fingerprint images. In this paper, we propose a new method using fingerprint image quality to improve the accuracy of fingerprint verification. Comparison to conventional fingerprint verification that only use the matching score, a final score is calculated by the matching score and qua...

A fingerprint is believed to be unique to each person and each finger. Fingerprints are one of the most full-grown biometric technologies and are used as proofs of evidence. A fingerprint consists of various types of minutiae and it is one of the most popular categories used in the fingerprint verification system. In this paper, a simple technique is proposed for fingerprint analysis using minu...