The work aims to establish the color separation model for the transparent non-absorbent materials based on the reflectance. The model to predict the spectral transmittance based on the transparent non-absorbent materials’ dot area percentage of CYNSN was established, and the optimized Yule-Nielsen exponent n (subscript n) and the number of cell levels were determined by the multiple internal reflection and transmission of incident light on the transparent non-absorbent materials. Based on the linear regression iterative algorithm, the color separation model for a transparent non-absorbent material CYNSN transmission draft was established by printing the test sample data on a clear, non-absorbent material with a white background. The experimental results showed that the color separation model could achieve high separation accuracy and avoid the use of spectral transmittance measurement instrument in the process of color separation, which reduced the cost, improved the data measurement efficiency and enabled the transparent non-absorbent material color separation effect to be closer to the reflection draft. The proposed model is an effective color separation model for the transparent non-absorbent materials.