The anti-counterfeiting recognition method of product packaging adopts wavelet packet transform algorithm to recognize the anti-counterfeiting information, but it is easy to be affected by the positive and negative characteristics of the anti-counterfeiting image during the recognition, resulting in a low recognition rate. Therefore, the invisible laser holographic anti-counterfeiting identification method of product packaging was proposed. Spatial filtering is used to sharpen the edge of security image and enhance the features of security image. Based on the image correction results, the positive and negative characteristics of the image were analyzed through the real part output and the simulated output of the segmentation filter, and the features of the image were extracted. According to the similarity criterion, the template matching algorithm was used to realize the anti-counterfeiting recognition. The experimental results show that the proposed method can obtain more than 90% recognition rate and the signal-to-noise ratio is above 60 dB when applied to low-quality anti-counterfeiting information.