In this paper a genetic matching scheme is extended to take into account primitive arcs and complex description in the pattern recognition process. Classical ways only focus on segments and are sensitive to over segmentation effect. Our approach allows to improve the recognition by handling more accurate description and also to decrease processing time by limiting the number of vertices to match. Experimental studies using real data attest the robustness of our approach.
Jean-Pierre Salmon, Laurent Wendling. ARG based on arcs and segments to improve the symbol recognition by genetic algorithm. Seventh International Workshop on Graphics Recognition - GREC'2007, IAPR TC-10 (Technical Committee on Graphics Recognition), Sep 2007, Curitiba, Brazil. 11 p. ⟨inria-00184880⟩
Citations
APA
ARG based on arcs and segments to improve the symbol recognition by genetic algorithm. (2007). https://hal.inria.fr/inria-00184880
MLA
ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm. Jan. 2007, https://hal.inria.fr/inria-00184880.
Chicago
“ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm.” 2007. https://hal.inria.fr/inria-00184880.
Harvard
“ARG based on arcs and segments to improve the symbol recognition by genetic algorithm” (2007). Available at : https://hal.inria.fr/inria-00184880.
ISO 690
ARG based on arcs and segments to improve the symbol recognition by genetic algorithm, 2007. [en ligne]. Disponible à l'adresse : https://hal.inria.fr/inria-00184880