Pattern recognition

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Pattern recognition involves identification of faces, objects, words, melodies, etc. The visual system does more than just interpret forms, contours and colors. Pattern recognition refers to the process of recognizing a set of stimuli arranged in a certain pattern that is characteristic of that set of stimuli. Pattern recognition is an innate ability of animals.

Theories of pattern recognition

• Template matching
• Prototype matching
• Feature analysis
• Recognition by components
• Fourier analysis
• Bottom-up and top-down processing

Template matching

The incoming sensory information is compared directly to copies (templates) stored in the long term memory. These copies are stored in the process of our past experiences and learning.

Eg. A A A are all recognized as the letter A but not B

Prototype matching

Prototype means a concept of average characteristics of a particular subject. It can be found throughout the world. For instance a concept of small animal with feathers, beak, two wings that can fly is a prototype concept of a crow, sparrow, hen, eagle, etc. Prototype matching unlike template matching does not emphasize a perfect match between the incoming stimuli and the stored concept in the brain.

Feature analysis

According to this theory, the sensory system breaks down the incoming stimuli into its features and processes the information. Some features may be more important for recognition than others. All stimuli have a set of distinctive features. Feature analysis proceeds through 4 stages.^{[citation needed]}

1. Detection
2. Pattern dissection
3. Feature comparison in memory
4. Recognition

Recognition of components

Irving Biederman theorizes that every object is made up of geons - the building blocks of all objects (cylinders, cones, are combined in many ways (on top of, to the side, etc.).^{[citation needed]}

Hierarchy of detectors:

1. Feature detectors — lowest and highest; respond to curves, edges, etc.
2. Geon detectors — activated by feature detectors
3. Higher level detectors — recognize combinations of features and geons

According to Biederman an individual on average is familiar with about 30,000 objects and recognizing them requires no more than 36 geons.^{[citation needed]}

See also

• Gestalt psychology

Multiple discrimination scaling

Template and feature analysis approaches to recognition of objects (and situations) have ben merged / reconciled / overtaken by multiple discrimination theory. This states that the amounts in a test stimulus of each salient feature of a template are recognised in any perceptual judgment as being at a distance in the universal unit of 50% discrimination (the objective performance 'JND': Torgerson, 1958) from the amount of that feature in the template (Booth & Freeman, 1993, Acta Psychologica).