用于大学学位验证的人脸图像自动分析

Ruslan Zulkashev, M. Polyak
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引用次数: 0

摘要

本文讨论了机器学习在面相学中的应用。研究了两种不同的神经网络模型作为人脸图像的特征提取器。总共有三个分类器被训练并相互比较,如果有可能仅根据人脸自动验证大学学位,则追求回答问题的目标。我们的研究结果表明,在一定程度上这是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic analysis of face images for college degree verification
The article discusses application of machine learning to physiognomy. Two different neural-network models are examined as feature extractors from face images. In total three classifiers are trained and compared with each other, pursuing the goal of answering a question if it is possible to automatically verify a college degree based only on a human face. Our findings show that to a certain extent it is possible.
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