共查询到16条相似文献,搜索用时 62 毫秒
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根据Hopfield神经网络的优化功能,对综合鉴别函数进行二元优化,使相关输出具有期的望的形状及峰值大小,从而实现旋转不变识别,并定义了一个判别依据-判别比,计算机模拟的结果表明,目标物体通过优化的二元滤波器后,不仅具有期望输出,而且判别经要比伪目标物体至少大一个量级。 相似文献
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强度不变的自动模式识别技术 总被引:1,自引:1,他引:0
针对光学模式识别技术用化要求,提出一种新的图像预处理算法,使识别现场光照明强度及分布的变化对识别效率所带来的影响大大降低。采用该算法进行实时硬件光学相关试验结果证实应用该算法可以实现强度的自动目标识别。 相似文献
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提出一种提高综合滤波器鉴别率的有效方法,其做法是:对样本集在等相关峰条件下求解综合滤波器的同时,使样本集的互补样本满足零件相关峰条件,此方法把训练模式类同所有其它模式类在映射空间的距离拉大,有效地提高了综合滤波器的鉴别率,以取自同一手指纹为样本集,求解综合鉴别函数后,建立了指纹的实时模式识别系统,实验结果表明本文提出的改进方法对提高综合滤波器的鉴别率是非常有效的。 相似文献
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尺度不变特征与几何特征融合的人耳识别方法 总被引:2,自引:1,他引:2
要提高人耳的识别率,关键是特征的提取与表达.尺度不变特征变换(SIFT)技术是局部点特征提取算法,在尺度空间寻找极值点,提取对图像的尺度和旋转变化具有不变性,对光照变化和图像变形具有较强的适应性的特征向量.尝试用SIFT技术来提取外耳图像的结构特征点以形成稳定的特征描述子,为了克服一幅图像中有多个局部描述子相似的问题,在SIFT特征描述子中融入一个耳廓几何特征.最后采用特征向量的欧氏距离作为两幅图像相似性度量标准进行人耳识别.在耳图像库七进行实验.结果表明,该方法不仅可以有效地提取人耳特征,通过少量特征可获得较高的识别率,而且对耳图像刚体变化具有较强的稳健性. 相似文献
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Making use of the idea of synthetic discriminant functions (SDF), a simple way to synthesize a shift, rotation and limited size correlation filter is proposed. The SDF is synthesized by superimposing four 2nd order circular harmonics of a training reference pattern in 4 different sizes. Computer simulation experiments have shown that the filter is indeed shift, full rotation and limited size invariant over a size range from 1 to 1.82. The invariant range can be increased if more training patterns are used. 相似文献
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M. S. Alam A. A. S. Awwal P. McWhorter R. Venkatesh S. Mathur M. Dugar B. Grewal 《Optics & Laser Technology》2000,32(4)
A new synthetic discriminant-function-based amplitude modulated phase-only filtering technique is proposed for scale invariant pattern recognition. This technique has been found to yield improved correlation output when compared with the alternate techniques. The proposed technique is inherently suitable for optical implementation using the currently available spatial light modulators. Simulation results confirm the effectiveness of the proposed technique. 相似文献
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Mausumi Pohit 《Optics Communications》2008,281(22):5541-5549
A new perspective of scale-invariant pattern recognition is proposed in this paper. Instead of computing a filter from one of many orthogonal components of the reference object, the scaling factor is estimated from the Fourier spectrums of reference and test images and utilized in rescaling of the spectrum. The test image is correlated with the reference image after rescaling its Fourier spectrum with classical matched filtering. Computer simulation results are presented for a reference object at several scaling versions as well as some non-target objects. 相似文献
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Mohammed Nazrul Islam K. Vijayan Asari Mohammad S. Alam 《Optics Communications》2011,284(6):1532-1539
This paper proposes a novel pattern recognition system for invariance to noise and distortions. The technique first generates a synthetic discriminant function of the target image from its different distorted versions. It then takes four different phase-shifted versions of the reference image, which are individually joint transform correlated with the given input scene. Thus the proposed algorithm produces a single cross-correlation signal corresponding to each potential target. Also a fringe-adjusted filter is designed to generate a delta-like correlation peak with high discrimination between the signal and the noise. The pattern recognition system is also designed for the identification of multiple targets belonging to multiple reference objects simultaneously in a given input scene. The proposed technique is investigated using computer simulation including real-life images in different complex environments. 相似文献