Identification of Humans using Gait
IEEE 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-d ....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 t ....etc

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Good luck .Hope this helps u who are in need..any more info need mail at [email protected] ....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
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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Hello sir/mam,
I'm doing research on multimodal biometric recognition using face, ear and  gait biometrices. I've completed face and ear biometrics but can't move forward due to uncertainity in gait recognition.
  Please provide me the code for gait recognition.


Thank you,
Dhruv Jain ....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 classificati ....etc

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BIOMETRIC FACE RECOGNITION
Abstract:
As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, and has an important advantage over other biometric technologies as it is a non -intrusive and easy to use method.
One of the fastest growing areas of advanced security involves biometric face recognition technologies. The art of picking a face out of a crowd is a time honored skill. Applying technology to such a pursuit has to date proven both fruitful an ....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 ....etc

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AUTOMATIC GAIT RECOGNITION
Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gaitâ„¢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 ....etc

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