College of Science

Proposed Multi Agents Classification System using Neural Networks

Multiagents technology took a significant role in the field of decision making and machine learning for solving complex problems in the real world. They simulate human ability to decision making where they have ability to reasoning and behave autonomously to solve problems or to support human user.In this thesis, a classification system using hierarchal multi agent's technology based on neural network and fuzzy logic is introduced,where each agent is implemented as a neural network (trained using back propagation learning algorithm).

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Satellite Image Classification Using K-Means and SVD Techniques

The use of remote sensing technologies was gained more attention due to an increasing need to collect data for the environmental dynamics.  Digital image analysis has been used for forest mapping and inventory evaluations, and it has played a substantial role in landcover monitoring and assessment. Satellite image classification is a relatively recent type of remote sensing uses satellite imagery to

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Fingerprint Recognition by Using Pores Extraction

Fingerprints are the oldest and most broadly used form of biometric identification. Everyone is known to have unique, immutable fingerprints.Fingerprint identification and recognition are considered popular technique in many security and law enforcement applications. Many systems rely on the matching of fingerprints using various methods and algorithms based on find position and orientation of ridge endings and bifurcations within the fingerprint image in both levels (level 2 and level 3).

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