A fingerprint recognizing system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae. It explains the finger print characteristics that are used to identify individuals and...

This work introduces a general framework for producing an EEG Finger-Print (EFP) which can be used to predict specific brain activity as measured by fMRI at a given deep region. This new approach allows for improved EEG spatial resolution based on simultaneous fMRI activity measurements. Advanced signal processing and machine learning methods were applied on EEG data acquired simultaneously wit...

The greatest strength of biometrics is that it does not change over time. But at the same time while using it directly for enhancing the security in network system, if that data has been compromised, its compromised forever[1]. Therefore, cancellable biometrics will increase the privacy which means that the true biometrics are never stored or revealed to the authentication server. Biometrics, c...

In this paper Finger print Image Enhancement method in spatial domain and frequency domain using filter is discussed. The state-of-art in the literature is reviewed to provide a foundation for the evaluation of the proposed approaches. Fingerprint enhancement can be conducted on either binary ridge images or gray-scale images. Different techniques for gray-level fingerprint images enhancement h...

Researchers have recently found that the finger-knuckle-print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one’s finger, has high discriminability, making it an emerging promising biometric identifier. Effective feature extraction and matching plays a key role in such an FKP based personal authentication system. This paper studies image l...

A Person's identity is an essential factor in this vastly connected society. Biometric Finger has wide acceptance as a genuine method for determining an individual’s identity. Biometric Finger authentication is reliable, since physical characteristics in humans are difficult to forge, harder to change or make copies. Biometric fingerprinting is one of the most popular and legally accepted biome...

Biometric system has been actively emerging in various industries and continuing to roll to provide higher security features for access control system. The proposed system simultaneously acquires the finger surface and subsurface features from finger-vein and finger print images. This paper reviews the acquired finger vein and finger texture images are first subjected to pre-processing steps, w...

Sclera and finger print vein fusion is a new biometric approach for uniquely identifying humans. First, Sclera vein is identified and refined using image enhancement techniques. Then Y shape feature extraction algorithm is used to obtain Y shape pattern which are then fused with finger vein pattern. Second, Finger vein pattern is obtained using CCD camera by passing infrared light through the f...

Identification of individuals can be difficult in cases like accidents, or in mass disaster conditions. The oral cavity plays a significant role in identification of victims because it comprises of unique anatomy of dentition. However in certain cases, if teeth are lost due reasons like caries, periodontal problems. Human palatal rugae have been suggested as an alternative method for identifica...

fingerprint authentication is implemented using many algorithms, which are based either on minutiae analysis or non minutiae analysis. Preprocessing of the fingerprints is important for better accuracy. Preprocessing includes segmentation and noise removal, which are considered two major steps in preprocessing. In this paper segmentation is performed by using fuzzy logic system, as the edges of...