CAJ | 학술논문

在热红外人脸识别中，眼镜作为人脸图像中常见的遮挡物，造成了人脸眼睛区域信息的丢失，严重影响了人脸识别效果。针对该问题，提出了一种在热红外图像中去除眼镜的算法，对热红外图像进行眼镜检测，使用无眼镜的热红外图像的平均眼睛模板来代替有眼镜的热红外图像的眼镜区域，再基于核主成分分析算法利用可视化图像和热红外图像融合的方法，进行图像融合，获得较好的无眼镜热红外图像，通过分类识别来实现人脸识别。实验结果表明，在热红外人脸识别中，该方法在戴眼镜的情况下能够提高人脸识别的准确率和取得较好的识别效果。
재열홍외인검식별중，안경작위인검도상중상견적차당물，조성료인검안정구역신식적주실，엄중영향료인검식별효과。침대해문제，제출료일충재열홍외도상중거제안경적산법，대열홍외도상진행안경검측，사용무안경적열홍외도상적평균안정모판래대체유안경적열홍외도상적안경구역，재기우핵주성분분석산법이용가시화도상화열홍외도상융합적방법，진행도상융합，획득교호적무안경열홍외도상，통과분류식별래실현인검식별。실험결과표명，재열홍외인검식별중，해방법재대안경적정황하능구제고인검식별적준학솔화취득교호적식별효과。
In infrared face recognition, eyeglasses which are the most common occluding object in facial images, have caused the loss of information of face eyes area and have seriously affected the effects of face recognition. Aiming at eye-glasses removal in face images, this paper proposes an algorithm, it detects the eyeglass regions in infrared test images and the detected eyeglass regions are replaced with an average eye template that is obtained from the average of all ther-mal face images without glasses. Then based on fusion of visual and thermal signatures and kernel principle component analysis, it reconstructs facial image without eyeglasses. It completes face recognition by using the classification. The experi-mental results show this method can easily increase face recognition accuracy and achieve good recognition effect, in the case of wearing glasses, in infrared face recognition.