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An activate appearance model‐based algorithm for ear characteristic points positioning

In the field of ear acupoint therapy in traditional Chinese medicine, many diseases can be treated through ear acupoint acupuncture, buried needle, bleeding, ear acupoint compression, massage, electric stimulation, and other programs. To achieve this goal, the positioning of the earhole feature point region is required. Based on the active appearance model, this article proposes an automatic identification feature point scheme through 168 datasets of data (including data collected based on standard equipment and ordinary mobile phones) collected from Hangzhou Normal University, China. The experimental results show that the average distance error of 91 feature points is less than 6 pixels, which can replace the identification work of TCM ear acupoint doctors.