Personal Identification by Integrating a Number of Features from Iris and Periocular Region Using AdaBoost S hintaro

@inproceedings{Ishi2018PersonalIB,
  title={Personal Identification by Integrating a Number of Features from Iris and Periocular Region Using AdaBoost S hintaro},
  author={Ishi and oshihiro and Hirakawa and asatsugu and chino and iroshi and oshiura},
  year={2018}
}
A personal identification method has been developed for searching for a specific person among other people that fuses iris and periocular features using AdaBoost. It effectively integrates scores for many features using an AdaBoost configuration in which feature selection corresponds to weak classifier selection. We found three interesting facts of evaluation. First, evaluation using up to eight features showed that identification accuracy increased with the number of features used. The lowest… CONTINUE READING

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