Privacy of personal data is an illusion in todayâ„¢s complex society. With only passwords, or Social Security Numbers as identity or security measures every one is vulnerable to invasion of privacy or break of security. Traditional means of identification are easily compromise and enyone can use this information to assume anotherâ„¢s identity. Sensitive personal and corporate information can be assessed and even criminal activities can be performed using another name. Eye pattern recognition system provides a barrier to and virtually el ....etc

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I want to complete up my evs project so i need some helps i want 1) objectives 2) importance 3)proposed methodology 4) observation 5) analysis 6) description of method 7) conclusion ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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In today’s high value manufacturing, machines are often equipped with sensors to detect disturbances in
the system, which may trigger the corresponding alarm(s) when limits are exceeded. Apart from displaying on a
terminal for human intervention, these alarm values are also logged to a database. Machine faults or breakdown
may be characterized by a set of alarm patterns. The ability to detect these patterns early can help to alert and
prevent impending machine failure, which is extremely useful for mission critical machines. This project ....etc

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Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scien ....etc

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Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scie ....etc

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PATTERN RECOGNITION - A STATISTICAL APPROACH
Presented By:
Vinay Kumar K 1 Bhavanishankar K2

1 Asst. Professor and HOD, Dept of CS, National Institute of Technology, Karnataka, India, E-mail:
2 II Year M.Tech, Dept of CS, National Institute of Technology, Karnataka,
ABSTRACT

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensiv ....etc

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An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet

Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pa ....etc

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This seminar aim to extract ear shape features for recognition Active Shape Models (ASMs) is applied to model the shape and local appearance of the ear in a statistical manner. In addition, steerable features are extracted from the ear image ahead of ASMs. Steerable features encode rich discriminate information of the local structural texture and provide accurate guidance for shape location. Eigenearshape is used for final classification. Experiments on an ear database show an encouraging performanc ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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