Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

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Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG
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Transcript of Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

Page 1: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

Script Recognition – 03Human reading process

prof. dr. L. Schomaker

KI

RuG

Page 2: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

© Schomaker 2001

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Human Reading

• Eyes are no flat-bed scanners!

Page 3: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

© Schomaker 2001

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Human Reading

• Eyes are not flat-bed scanners!

– Fast movements: saccades

– Alternated with fixations: the high-resolution center of the retina is positioned to capture a limited area of the complete visual array

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© Schomaker 2001

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Human Reading

• Eyes are not statically positioned cameras

– Looking and reading involve an active process of selective attention, opportunistically jumping to the next area of visual interest

– The illusion of a global and consistent view of the world is generated by the integrative processes in the visual cortex (not in the eyes):

Page 5: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

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Human reading research (HRR)

• HRR is mostly guided by epistemologic dynamics intrinsic to the used experimental paradigms, less by fundamental questions concerning geometry and features of scripts influencing reading performance

• Findings are of little use to developers of reading systems

• Modeling efforts are limited, where models do exist, they concern toy problems (small dictionaries, oversimplified character shapes)

Page 6: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

© Schomaker 2001

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Global word shape

General framework: Merton’s “Logogen”:there exists a lexicon of words. Words get ascore of likelihood on the basis of detectedfeatures. This example: word contour pattern.

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Tests with ascender/descender coding

a = x h = lx o = x v = x

b = lx I = x p = jx w = x

c = x j = j q = xj x = x

d = xl k = lx r = x y = xj

e = x l = l s = x z = x

f = l m = x t = l

g = xj n = x u = x

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Code-length frequencies in 48k lexicon

Page 9: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

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Code ‘collisions’ : amount of different words per code

Worst case: 1345 words for code ‘x’2^16 2^10 alternatives

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However: humans do not seem to use word contour extensively, in the reading of machine-print words

“case-mixing” experiments

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© Schomaker 2001

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Experiment on reading handwriting

Page 12: Script Recognition – 03 Human reading process prof. dr. L. Schomaker KI RuG.

© Schomaker 2001

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Reaction times, common words

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Error rates, common words

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Reaction time, rare words

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Error rates, rare words