CAJ | 학술논문

应用Hessian矩阵的(特征值,特征向量)参数组的关系提取鼻梁的中脊线,并区分出中脊线左右二边的毛囊识别区域.然后,在Hessian矩阵特征值符号的基础上,加入最大特征值对应的特征向量的方向和梯度方向的关系作为毛囊检测的条件.在103人的数据库中,得到的识别正确率为86.26%.实验结果表明,可以把鼻部毛囊的特征识别用作高效的人体身份认证技术之一.
응용Hessian구진적(특정치,특정향량)삼수조적관계제취비량적중척선,병구분출중척선좌우이변적모낭식별구역.연후,재Hessian구진특정치부호적기출상,가입최대특정치대응적특정향량적방향화제도방향적관계작위모낭검측적조건.재103인적수거고중,득도적식별정학솔위86.26%.실험결과표명,가이파비부모낭적특정식별용작고효적인체신빈인증기술지일.
Centerline of nose is extracted by Hessian matrix parameters to segment the matched region. Direction of gradient and eigenvector corresponding to the largest eigenvalue are combined to detect nose pore. The proposed method achieves an identification correct rate of 88.07% on a database of 103 persons. The experimental results show that nose pore feature can be used as one of the most efficient biometric features in recognition.