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There are many useful resources on the web about Pattern Recognition that can give some insights to interested individuals. Here are a few:
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Pattern Recognition
Pattern Recognition is the science of classifying objects into different categories. It has a wide variety of application areas, especially in today's automated systems and closely tied with machine learning and Artificial Intelligence research. In Pattern Recognition, an input signal is sent to a classifier and the classifier creates an output signal, mostly a category information. The choice of this classifier is mostly problem-dependent and of particular interest to Pattern Recognition research. A Pattern Recognition System consists of the following stages:
- Data acquisition
- Preprocessing and Feature Extraction
- Classification
Some of the application areas of Pattern Recognition are
- Character recognition
- Automated visual inspection
- Medical diagnosis
- Face recognition
- Credit card fraud
- Speech recognition
- Remote sensing
- Bankruptcy prediction
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