Authors:
Xavier Molinero
1
;
Josep Freixas
1
and
Montserrat Tàpias
2
Affiliations:
1
Department of Mathematics, Universitat Politècnica de Catalunya, BarcelonaTECH, Spain
;
2
Department of Optics and Optometry, Universitat Politècnica de Catalunya, BarcelonaTECH, Spain
Keyword(s):
Visual Identification, Measure of Topographies, Power Indices.
Abstract:
In this study, our objective is to explore methodologies for the identification of diverse typefaces. Utilizing the gathered data, we conducted a thorough analysis of the outcomes, distinguishing between successes and failures for both uppercase and lowercase letters within each typeface. The analytical framework is anchored in three distinct recognition measures. The initial measure draws upon the relative frequency of accurate responses, providing insights into the overall performance of each typeface. The second measure is constructed around the F-score derived from confusion matrices, offering a comprehensive evaluation of recognition precision and recall. Lastly, the third measure is formulated on the well-established Shapley-Shubik index, extensively scrutinized and endorsed within the realm of classical game theory. This multifaceted approach allows us to comprehensively assess the distinct aspects of typeface recognition, contributing to a nuanced understanding of their effec
tiveness and characteristics.
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