Attribute estimation using multi-CNNs from hand images

Yi Chun Lin, Yusei Suzuki, Hiroya Kawai, Koichi Ito, Hwann Tzong Chen, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The human hand is one of the primary biometric traits in person authentication. A hand image also includes a lot of attribute information such as gender, age, skin color, accessory, and etc. Most conventional methods for hand-based biometric recognition rely on one distinctive attribute like palmprint and fingerprint. The other attributes as gender, age, skin color and accessory known as soft biometrics are expected to help identify individuals but are rarely used for identification. This paper proposes an attribute estimation method using multi-convolutional neural network (CNN) from hand images. We specially design new multi-CNN architectures dedicated to estimating multiple attributes from hand images. We train and test our models using 11K Hands, which consists of more than 10, 000 images with 7 attributes and ID. The experimental results demonstrate that the proposed method exhibits the efficient performance on attribute estimation.

Original languageEnglish
Title of host publication2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-244
Number of pages4
ISBN (Electronic)9781728132488
DOIs
Publication statusPublished - 2019 Nov
Event2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019 - Lanzhou, China
Duration: 2019 Nov 182019 Nov 21

Publication series

Name2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019

Conference

Conference2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019
CountryChina
CityLanzhou
Period19/11/1819/11/21

ASJC Scopus subject areas

  • Information Systems

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    Lin, Y. C., Suzuki, Y., Kawai, H., Ito, K., Chen, H. T., & Aoki, T. (2019). Attribute estimation using multi-CNNs from hand images. In 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019 (pp. 241-244). [9023260] (2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPAASC47483.2019.9023260