Method for pigment spectral matching identification based on adaptive levenshtein distance

In order to solve the low accuracy of the classic spectral matching algorithms in matching the spectral data of different pigment materials in the homochromatic similar system, this paper proposed a spectral matching algorithm based on adaptive threshold levenshtein distance. The levenshtein distance was researched to improve the matching accuracy by using its characteristics of to be sensitive to the spectral reflectance difference. At the same time, by adaptively setting the judgment condition of levenshtein distance, the error of this algorithm in matching the spectral data of the same pigment material under different conditions is reduced. And the identification accuracy of different pigment materials in the homochromatic similar system is improved. The experimental results show that compared with the traditional spectral matching algorithm, the matching accuracy of the adaptive levenshtein distance algorithm is higher, and the identification result for the pigment is better.