4 papers
A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis
Tetsushi Ohki, Narishige Abe, Hidetsugu Uchida +1
Biometric recognition systems, known for their convenience, are widely adopted across various fields. However, their security faces risks depending on the authentication algorithm…
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
Tetsushi Ohki, Yuya Sato, Masakatsu Nishigaki +1
Demographic bias is one of the major challenges for face recognition systems. The majority of existing studies on demographic biases are heavily dependent on specific demographic g…
PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance
Yosuke Kaga, Masakazu Fujio, Kenta Takahashi +2
With the growth of image on the web, research on hashing which enables high-speed image retrieval has been actively studied. In recent years, various hashing methods based on deep…
Cancelable Indexing Based on Low-rank Approximation of Correlation-invariant Random Filtering for Fast and Secure Biometric Identification
Takao Murakami, Tetsushi Ohki, Yosuke Kaga +2
A cancelable biometric scheme called correlation-invariant random filtering (CIRF) is known as a promising template protection scheme. This scheme transforms a biometric feature re…