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首页> 外文期刊>International Journal Bioautomation >Snake Model Based on Improved Genetic Algorithm in Fingerprint Image Segmentation
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Snake Model Based on Improved Genetic Algorithm in Fingerprint Image Segmentation

机译:基于改进遗传算法的Snake模型在指纹图像分割中的应用

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Automatic fingerprint identification technology is a quite mature research field in biometric identification technology. As the preprocessing step in fingerprint identification, fingerprint segmentation can improve the accuracy of fingerprint feature extraction, and also reduce the time of fingerprint preprocessing, which has a great significance in improving the performance of the whole system. Based on the analysis of the commonly used methods of fingerprint segmentation, the existing segmentation algorithm is improved in this paper. The snake model is used to segment the fingerprint image. Additionally, it is improved by using the global optimization of the improved genetic algorithm. Experimental results show that the algorithm has obvious advantages both in the speed of image segmentation and in the segmentation effect.
机译:自动指纹识别技术是生物识别技术中一个相当成熟的研究领域。指纹分割作为指纹识别的预处理步骤,可以提高指纹特征提取的准确性,并减少指纹预处理的时间,对提高整个系统的性能具有重要意义。在分析常用指纹分割方法的基础上,对现有的分割算法进行了改进。蛇模型用于分割指纹图像。另外,通过使用改进的遗传算法的全局优化来改进它。实验结果表明,该算法在图像分割速度和分割效果上均具有明显的优势。

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