Today’s business applications are increasingly process driven, meaning that the main application logic is executed by a dedicate process engine. In addition, component-oriented software development has been attracting attention for building complex distributed applications. In this paper, we present the experiences gained from building a process-driven biometric identification application that ...

We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity “template”. The biometric data is considered to have been created by a noisy generative process. This process consists of (i) a deterministic component, which depends entirely on an underlying representation of identity and (ii) a stochastic component which accounts for...

The potential value of a looping biometric feedback system as a key component of adaptive computer video games is significant. Psychophysiological measures are essential to the development of an automated emotion recognition program, capable of interpreting physiological data into models of affect and systematically altering the game environment in response. This article presents empirical data...

Multimodal biometric plays a significant role in human identification, which overcomes the issues of unimodal biometric system. The proposed approach is based on fusion of two unique traits, ear and iris and to study their performances. The features of both traits are extracted using common method, Principal Component Analysis (PCA) technique mainly for dimensionality reduction without informat...

The Glottal Source is an important component of voice as it can be considered as the excitation signal to the voice apparatus. The use of the Glottal Source for pathology detection or the biometric characterization of the speaker are important objectives in the acoustic study of the voice nowadays. Through the present work a biometric signature based on the speaker’s power spectral density of t...

AIM In the present study, biometric traits (body length [BL], heart girth [HG], paunch girth (PG), forelimb length (FLL), hind limb length (HLL), face length, forehead width, forehead length, height at hump, hump length (HL), hook to hook distance, pin to pin distance, tail length (TL), TL up to switch, horn length, horn circumference, and ear length were studied in 218 adult hill cattle of Him...

With growing concern about the security, the world over, biometric based person verification is gaining more and more attention. One of the major limitation in Biometric authentication is single sample biometric recognition (unimodal) problem. In this paper, we combine two biometrics namely face and palmprint at feature level using the novel approach based on Log Gabor transform and Gaussian Mi...

Physiological biometric behavior such as face is taken in our research work to verify the individual’s identity. The process involved in biometric system is feature detection and recognition process. However, face recognition is hard case on the biometric object recognition with higher performance result. Most of the existing face recognition system takes longer time to produce the performance ...

Identity recognition faces several challenges especially in extracting an individual's unique features from biometric modalities and pattern classifications. Electrocardiogram (ECG) waveforms, for instance, have unique identity properties for human recognition, and their signals are not periodic. At present, in order to generate a significant ECG feature set, nonfiducial methodologies based on ...