An iris based biometric recognition system provides identification of an individual based on a unique feature or characteristic possessed by that individual. Iris recognition is consider as the most reliable and accurate biometric identification system. In this paper we explore the performance of the iris based recognition system. We take iris image of ten different people and after segmentatio...

This paper evaluates an existing algorithm for biometric identification. In identification based on biometric images, the number of image comparisons is an important factor to estimate the total processing time in addition to the processing time of a single image comparison. Maeda et al. proposed an identification algorithm which reduces the number of image comparisons. This paper evaluates the...

Think of withdrawing cash from an automatic teller machine (ATM). What if a thief steals your ATM card and comes to know your personal identification number (PIN)? For many secure buildings, access is restricted to bearers of an appropriate magnetic swipe card or a radio frequency identification (RFID) tag. But what if that RFID tag or swipe card falls into the wrong hands? Similarly, when we l...

Image enhancement is a primary need for the recognition of different biometrics in biometric-based identification systems. The recognition-rate of a biometric system depends heavily upon the quality of the input biometric given to the system. In this paper, a novel hybrid Fuzzy model (IEHFS) is proposed to improve the visual quality of iris images. The experimental results based on calculating ...

One of the inherent properties of biometrics is the ability to use unique features for identification and verification of users. The usable biometric features in humans are limited in number and they must be kept secret; if a biometric factor is compromised it presents a challenge that may defy solution. In this paper we present a novel method to preserve privacy of users’ biometrics. Using an ...

Several authors [1] [2] [3] [4] [5] have shown that multimodality was a highly efficient solution for biometric identification and allows to increase performance and reliability. Indeed, the acquisition of multiple biometric features makes it much more difficult for an impostor to spoof the system with artificially developed samples. However, we do not get these benefits for free: multimodal bi...

Many biometric systems, such as face, fingerprint and iris have been studied extensively for personal verification and identification purposes. Biometric identification with vein patterns is a more recent approach that uses the vast network of blood vessels underneath a person’s skin. These patterns in the hands are assumed to be unique to each individual and they do not change over time except...

Recognition of a person by means of the biometric characteristic is very important technology as biometric identifiers can’t be shared and they intrinsically represent individual’s bodily identity. Palm print is one of the important biometric characteristics with high user acceptance and it has gained much attention because of its good performance. Biometric characteristics are used to identify...

Fingerprints are the most oftenly used biometric feature for a person credentials and verification in the field of biometric identification. Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification. First is the Ridge and Furrow structure that forms a special pattern in the central region of the fingerprint and second is the Minutia...