English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, a component-based gender classification based on hair and facial geometrical features are presented. By way of these preprocessing, hair and facial geometry features can then be extracted automatically from the face images. We compare hair detection methods by examining their color and texture features, and also analyze some geometrical features from references. The best performance of 87.15% in gender classification rate is achieved by combining the most significant hair and geometrical features which is better than some of the literature before.

Component-based Gender Classification based on Hair and Facial Geometry Features