Realization for Finger Character Recognition Method by Similarity Measure of Finger Features
Takuma Nitta, Shinpei Hagimoto, Ari Yanase, Ryotaro Okada, Virach Sornlertlamvanich, Takafumi Nakanishi · International Journal of Smart Computing and Artificial Intelligence · 2022
In this paper, we present a novel finger character recognition method in sign language using dimension reduction finger character feature knowledge base for similarity measure.A sign language communication is crucial method for deaf or hearing-impaired people.One of the most important problems is that very few people can understand a sign language.Essentially, there is not enough image data set for finger character learning.In addition to aligning a corpus of images of finger character, * it is necessary to realize an automatic recognition system for finger characters in a sign language.We construct a knowledge base for finger character features and apply it to realize a novel finger character recognition.Our method enables finger character recognition by similarity measure between the input finger character features and a knowledge base.The experimental results show that our approach efficiently utilizes the knowledge base generated from a small amount of finger character images.We also present our prototype system and experimental evaluation.