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Lattice characterization methods are normally used to quantify the effects of different anodization conditions on hexagonal lattices like nanoporous anodized aluminum oxides (AAOs). In this paper, a fast and accurate approach is recruited which uses the periodicity of the material's texture to quantify the degree of ordering in the hexagonal lattices. This automatic correlation-based approach is the first method which could give the observer a spectrum judgment about the degree of lattice order and could evaluate the order of near-regular textures. This method gives the observer an objective criterion for judging the order of hexagonal lattices, and two new criteria are also proposed to define the amount of order in these structures. This may help to unveil the mechanism for the self-organization process and deposition techniques in AAO.