Pre-processing methods for automatic pigment recognition through Vis–NIR reflectance spectra

The present work introduces the preliminary outcome of one tasks inside MOBARTECH project, that is creation prototype for a compact FORS spectrophotometer capable automatically identifying pigments and dyes. On road toward this goal, we focused on automation pigment identification, as aspect great interest which would allow real time analysis with benefit especially unskilled operators. In paper, evaluate high-order derivative approximation pre-processing features extraction methods, strictly related to way database built; have chosen use dynamic be able elaborate data give an answer in time, independently from experimental set up, are planning interface suitable both non-skilled expert users. aim research thus how spectra affects response ability search algorithm correctly identify unknown spectrum, order develop totally automated pipeline identification or prefer interactive framework.