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Proceedings Paper

Visual recognition of permuted words
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Paper Abstract

In current study we examine how letter permutation affects in visual recognition of words for two orthographically dissimilar languages, Urdu and German. We present the hypothesis that recognition or reading of permuted and non-permuted words are two distinct mental level processes, and that people use different strategies in handling permuted words as compared to normal words. A comparison between reading behavior of people in these languages is also presented. We present our study in context of dual route theories of reading and it is observed that the dual-route theory is consistent with explanation of our hypothesis of distinction in underlying cognitive behavior for reading permuted and non-permuted words. We conducted three experiments in lexical decision tasks to analyze how reading is degraded or affected by letter permutation. We performed analysis of variance (ANOVA), distribution free rank test, and t-test to determine the significance differences in response time latencies for two classes of data. Results showed that the recognition accuracy for permuted words is decreased 31% in case of Urdu and 11% in case of German language. We also found a considerable difference in reading behavior for cursive and alphabetic languages and it is observed that reading of Urdu is comparatively slower than reading of German due to characteristics of cursive script.

Paper Details

Date Published: 17 February 2010
PDF: 9 pages
Proc. SPIE 7527, Human Vision and Electronic Imaging XV, 752715 (17 February 2010); doi: 10.1117/12.840531
Show Author Affiliations
Sheikh Faisal Rashid, Technical Univ. of Kaiserslautern (Germany)
Faisal Shafait, German Research Ctr. for Artificial Intelligence (Germany)
Thomas M. Breuel, Technical Univ. of Kaiserslautern (Germany)
German Research Ctr. for Artificial Intelligence (Germany)


Published in SPIE Proceedings Vol. 7527:
Human Vision and Electronic Imaging XV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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