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 typ.eface recognition, contributing to a nuanced under- standing of their effectiveness and characteristics

J. Freixas and X. Molinero has been partially supported by funds from the Ministry of Science and Innovation grant PID2019-104987GB-I00 (JUVOCO) and the Catalan government [2021 SGR 01419 ALBCOM].

Objectius de Desenvolupament Sostenible::10 - Reducció de les Desigualtats

Objectius de Desenvolupament Sostenible::5 - Igualtat de Gènere

Peer Reviewed