2.1 Image Recognition Internal Structures
An image recognition application is roughly divided into:
Level 5: User Interface;
Level 4: Data Management;
Level 3: Image-Matching Layer;
Level 2: Scanner, Camera, and their Drivers;
Level 1: PC with Windows.
The TransApplet Library will be used to implement the Image-Matching layer.
Stand-alone software, like the Attrasoft ImageFinder, is roughly divided into 3 layers:
Level 3: User Interface;
Level 2: Image-Matching Layer;
Level 1: PC with Windows.
The Attrasoft Image Recognition Approach has two basic phases:
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Signature Matching;
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Image Segment Matching
In the Signature Matching, a unique image signature is computed for each image. Different images will have different signatures. The Signature Matching is based on these image signatures. This matching can easily reach the speed of 1,000,000 per second and is very fast.
In the Image Segment Matching, a neural net learns what the image looks like in a very similar way as the human brain does, i.e. adjusting the internal synaptic connections to remember the image.
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