The recognition of the gait is the process of identifying an individual by the manner in which they walk. It is a less biometric discrete marker, which offers the possibility of identifying people at a distance, without any interaction or cooperation of the subject, this is the property that makes it as attractive as a method of identification.

Interest in biometric walking is strongly motivated by the need for an automated recognition system for visual surveillance and monitoring applications. Recently, the use of gait for the identificat ....etc

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A Definitional Framework for the Human-Biometric Sensor Interaction Model
PRESENTATION BY:-
Srikanth Reddy KomatiReddy, Rampur Raghunath,
2/4 ECE, 2/4 ECE,
Annamacharya inst of Tech & Sci. Annamacharya inst of Tech & Sci.
Abstract Existing definitions for biometric testing and evaluation do not fully explain errors in a biometric system.This paper provides a definitional framework for the Human Biometric-Sensor Interaction (HBSI) model. This paper proposes six new definitions based around two classifications o ....etc

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This article is presented by:
SANS Institute
InfoSec Reading Room

ABSTRACT

With the cost of eye-scanning technology coming down and the need for more secure systems going up, it s time to take a close look at iris recognition for security applications. Due to research and patented technology, iris recognition has emerged from its early image of spy film fantasy to reality. This paper explores the origins of iris recognition, how it works, how it stacks up against other forms of biom ....etc

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Identification of Humans using Gait
IEE Transactions on Image Processing, Vol. 13, No. 9, September 2004
Language: Java,

Abstract:
We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods. In the first method, referred to as the indirect approach, the high-di ....etc

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AUTOMATIC GAIT RECOGNITION
Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gait s advantages are that it requires no contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision techniques to derive a gait signature from a seque ....etc

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Abstract

The reliable extraction of characteristic gait features from image sequences and their recognition are two important issues in gait recognition. In this paper, we propose a novel 2-step, model-based approach to gait recognition by employing a 5-link biped locomotion human model. We first extract the gait features from image sequences using the Metropolis-Hasting method. Hidden Markov Models are then trained based on the frequencies of these feature trajectories, from which recognition is performed. As it is ent ....etc

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Abstract:
This seminar a theoretical study of dynamic handwritten signature parameters that can be considered to improve the biometric lab system at ISY department. In the previous lab used x, y coordinates and pressure. Previous work was based on frequency distribution of signatures with simple hardware devices like a signing pen and tablet. Here considering some simple parameters like speed, acceleration, pen down time, distance, etc. Based on the literature studies we will discuss how these parameters can be used in the lab environment to ....etc

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Abstract
The ear is a promising candidate for biometric identification. However, in prior work, the pre-processing of ear images has had manual steps, and algorithms have not neces- sarily handled problems caused by hair and earrings. This seminar present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recog- nition. and evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.6%.for ear ....etc

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Automated Iris Recognition Technology & Iris Biometric System
The Iris as a Biometrics: The iris is an overt body that is available for remote assessment with the aid of a machine vision system to do automated iris recognition.
Iris recognition technology combines computer vision, pattern recognition, statistical inference, and optics.
The spatial patterns that are apparent in the human iris are highly distinctive to an individual.
Clinical observations
Developmental biology
Overview
Its suitability as ....etc

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