Abstract
Interests in food safety have been growing and identification management has been recognized very important to improve qualities and safety of foods. This paper investigates pig face recognition to enable inexpensive marker-less pig identification management systems. Eigenspace methods are known to be effective to human face recognition, and we applied them to pig face recognition. From experimental results, we found that pig eyes are the most effective face part for recognition. We obtained 97.9% recognition rate for 16 categories with 16 samples/category training data, and some potential of the method was suggested.
