The fast recognition of counterfeit liquor is significant in the field of food safety, while the existing liquor detection technologies cannot quickly identify various kinds of counterfeit liquors in the market. We propose a quick method of liquor-authenticity identifying. Firstly, we use laser induced fluorescence technique to collect fluorescence spectra of the liquor under test. Then we adjust the size of fluorescence spectra to input into the deep learning algorithm, Finally, we can identify the authenticity based on the algorithm. We select four samples, which are three liquor brands with two liquor degrees, and collect 100 fluorescence spectra for each liquor sample. Then we select 80 spectra from the 100 spectra randomly for model training deep learning algorithm. Finally, we detect the rest 20 spectra for the trained model. The experimental results show that there are significant differences of fluorescence spectra in different liquor brands and different liquor degrees. In model test, the recognition rate of fluorescence spectra in four samples is 98.44%. The results indicate that the laser induced fluorescence technology and deep learning can identify the brand and degree of liquor precisely.