by barkkathulla 2012-09-22 11:33:15

IRIS Based Automatic Attendance System
Compared to fingerprint, iris is protected from the external environment behind the cornea and the eyelid. No subject to deleterious effects of aging, the small-scale radial features of the iris remain stable and fixed from about one year of age throughout life. A number of groups have explored iris recognition algorithms and some systems have already been implemented and put into commercial practice by companies such as Viridian Technologies, Inc., whose system is based on the use of Daganâs algorithm (Dagan, 1993). Nowadays, bulk of automatic iris recognition system is constantly smaller. Complex iris recognition verifying algorithms can be solidified in a small embedded processing module. This module and iris recognition sensor as well as external control interface constitute embedded iris recognition verifying system. This wireless iris recognition attendance management system is designed and realized based on automatic iris recognition module and RF wireless module.
The basic functions of this system include:
(1) Take the task of usersâ attendances.
(2) transmit the information of attendances to the managing PC;
(3) As a terminal of information, display useful information transmitted by PC on LCD.

2.1.5 Multi Model Human Face Detection and Tracking
The constructive need for robots to coexist with humans requires humanâmachine interaction. It is a challenge to operate these robots in such dynamic environments, which requires continuous decision-making and environment-attribute update in real-time. An autonomous robot guide is well suitable in places such as museums, libraries,schools,hospital,etc.
This paper addresses a scenario where a robot tracks and follows a human.A neural network is utilized to learn the skin and non skin colors. The skin-color probability map is utilized for skin classification and morphology-based preprocessing. Adaptive Mean Shift tracking mechanism in a 1-D Hue, Saturation and Value color space is developed and implemented on to the mobile robot. In addition to the visual cues, the tracking process considers16 sonarâs can and tactile sensor readings from the robot to generate a robust measure of the personâs distance from the Robot. The robot thus decides an appropriate action, namely, to Follow the human subject and perform obstacle avoidance. The Proposed approach is orientation in variant under varying light-Ing conditions and invariant to natural transformations such as translation, rotation, and scaling. Such a multimodal solution is effective for face detection and tracking.

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