[18p-E215-1~9] 【CS.1】 3.3 情報フォトニクス・画像工学と4.4 Information Photonicsのコードシェアセッション

▲ [18p-E215-9] Improvement on finger region extraction for hand-waving finger vein authentication

〇Hiroyuki Suzuki¹、Muhammad Arkaan Izhraqi¹、Jumpei Nagata¹、Takashi Obi¹、Takashi Komuro² (1.Tokyo Inst. of Tech.、2.Saitama Univ.)

キーワード：machine learning, biometrics

In our previous study, we proposed a hand waving finger vein authentication system, in which finger region extraction from captured images is effective for verifying the finger vein patterns with high accuracy. In this study, we apply a machine leaning method to extract finger region. With experiments, we employed U-Net as a machine leaning architecture and the results show that the generated function contributes to a good performance of the finger region extraction in terms of accuracy as well as computational time.