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Gender classification using image processing techniques: A survey

机译：使用图像处理技术的性别分类：一项调查

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摘要

Classification has emerged as a leading technique for problem solution and optimization. Classification has been used extensively in several problems domains. Automated gender classification is an area of great significance and has great potential for future research. It offers several industrial applications in near future such as monitoring, surveillance, commercial profiling and human computer interaction. Different methods have been proposed for gender classification like gait, iris and hand shape. However, majority of techniques for gender classification are based on facial information. In this paper, a comparative study of gender classification using different techniques is presented. The major emphasis of this work is on the critical evaluation of different techniques used for gender classification. The comparative evaluation has highlighted major strengths and limitations of existing gender classification techniques. Taking an overview of these major problems, our research is focused on summarizing the literature by highlighting its strengths and limitations. This study also presents several areas of future research in the domain of gender classification.
机译：分类已成为解决问题和优化问题的领先技术。分类已在几个问题领域中广泛使用。性别自动分类是一个非常重要的领域，并且有很大的发展潜力。它在不久的将来提供了多种工业应用，例如监视，监视，商业配置文件和人机交互。已经提出了用于步态，虹膜和手形的性别分类的不同方法。但是，大多数用于性别分类的技术都是基于面部信息。本文介绍了使用不同技术进行性别分类的比较研究。这项工作的主要重点是对用于性别分类的不同技术的严格评估。比较评估突出了现有性别分类技术的主要优势和局限性。通过对这些主要问题的概述，我们的研究集中在通过突出其优势和局限性来总结文献。这项研究还提出了性别分类领域未来研究的几个领域。

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