The document discusses biometric authentication and gait recognition. It defines biometric authentication as using physiological or behavioral characteristics to identify individuals. Gait recognition specifically aims to identify people based on how their silhouette changes over time as they walk. While unobtrusive, gait recognition is subject to effects of clothing and viewing angles. The document outlines different biometric devices and modalities like fingerprints, facial recognition, and speech recognition. It also describes how gait recognition extracts 1D signals from 2D silhouettes to analyze an individual's walking pattern for identification.

1. SUBMITTED TO- SUBMITTED BY-
MR. PRADEEP SHARMA MANOJ KUMAR
(ASSISTANCE PROFESSOR) IT, 08EAIIT026

2.  Authentication based on the physiological or behavioral
characteristics of people
 It is a pattern recognition system at establishes a
person’s identity by comparison of data .
 It’s authentication is "automatic", "real-time", "non-
forensic" subset of the broader field of human
identification.

3.  Biometric systems:
o Verification
o Identification
 Biometric devices:
o Positive Identification
o Negative Identification

4.  Fingerprint
 Handwritten signature
 Facial recognition
 Speech recognition
 Gait recognition

5.  It aims to discriminate individuals by the way they
walk
 It is unobtrusive.
 It depends on how the silhouette shape of an individual
changes over time in an image sequence

8.  Silhouette Representation
 2D silhouettes are changed
into an associated sequence
of 1D signals
 di=((xi-xc)2+(yi-yc)2)1/2

10.  Subject to the effects of different types of
clothes.
 Lack of generality of viewing angles.

11. ANY QUESTION??