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The competitive Coding approach (CompCode) is one of the most promisingmethods for palmprint recognition. Due to its high performance and simpleformulation, it has been continuously studied for many years. However, althoughnumerous variations of CompCode have been proposed, a detailed analysis of themethod is still absent. In this paper, we provide a detailed analysis ofCompCode from the perspective of linear discriminant analysis (LDA) for thefirst time. A non-trivial sufficient condition under which the CompCode isoptimal in the sense of Fisher's criterion is presented. Based on our analysis,we examined the statistics of palmprints and concluded that CompCode deviatesfrom the optimal condition. To mitigate the deviation, we propose a new methodcalled Class-Specific CompCode that improves CompCode by excludingnon-palm-line areas from matching. A nonlinear mapping of the competitive codeis also applied in this method to further enhance accuracy. Experiments on twopublic databases demonstrate the effectiveness of the proposed method.

Revisiting Competitive Coding Approach for Palmprint Recognition: A Linear Discriminant Analysis Perspective