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very powerful classification tool that employs neural network techniques. Based on the technique of Support Vector Machines (SVMs). SVMs mimic good generalization behavior, which is a learning machine’s ability to draw conclusions from learning samples and apply them to other pattern instances.
- Allows recognition of organic forms and textures that exhibit a high degree of deformation and variability
- Wide range of possible applications-can classify and analyze abstract images such as those generated by: structured laser illumination, handwritten numbers and letters, surface textures, human faces, detection of surface faults, fruits and vegetables (sort and inspect), X-ray and MRI images
- Good generalization of training samples
- Tolerates a wide variation of classified objects
- Simple operation and training
- Very High Speed
- Monochrome and Color
- Could be used for appliance control for people with disabilities
- Unexplored aspects of the tool make the possibilities endless, can handle very complex applications
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