| 基于模板的PCNNs指纹细化算法 |
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| 引用本文： | 许媛媛,陶重犇,朱绍文,杨迪,王宪,丁锋. 基于模板的PCNNs指纹细化算法[J]. 江南大学学报(自然科学版), 2010, 9(2): 138-142 |
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| 作者姓名： | 许媛媛 陶重犇 朱绍文 杨迪 王宪 丁锋 |
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| 作者单位： | 江南大学,通信与控制工程学院,江苏,无锡,214122 |
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| 基金项目： | 国家自然科学基金项目(60574051) |
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| 摘 要： | 针对现行的一些细化方法在细化二值指纹图像时容易产生断裂和毛刺的状况,提出了一种基于正方形模板和三角形模板的脉冲耦合神经网络细化方法,并加入一种方向约束条件来避免经常出现的指纹脊线毛刺。实验结果表明,该算法不但能有效地缩短细化时间,而且细化后的指纹图像不会产生断裂和毛刺现象。此外,将该算法应用到自动指纹识别系统中后,不仅缩短了识别时间,而且识别率也得到了明显提高。
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| 关 键 词： | 脉冲耦合神经网络 模板 方向约束条件 细化 |
Fingerprint Thinning Algorithm Based on Template-Based PCNNs |
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| XU Yuan-yuan,TAO Chong-ben,ZHU Shao-wen,YANG Di,WANG Xian,DING Feng. Fingerprint Thinning Algorithm Based on Template-Based PCNNs[J]. Journal of Southern Yangtze University:Natural Science Edition, 2010, 9(2): 138-142 |
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| Authors: | XU Yuan-yuan TAO Chong-ben ZHU Shao-wen YANG Di WANG Xian DING Feng |
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| Affiliation: | School of Communication and Control Engineering;Jiangnan University;Wuxi 214122;China |
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| Abstract: | To improve the traditional fingerprint thinning methods,which prone to generate rupture and burr,a Pulse-Coupled Neural Networks(PCNNs) method based on square and triangle template is proposed for binary fingerprint image thinning.In addition,a direction-constraining scheme for avoiding fingerprint ridge spikes has been discussed.The simulation results show that the proposed method effectively shortens the thinning time and avoids the phenomenon of rupture and burr after thinning.Furthermore,after applying ... |
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| Keywords: | pulse-coupled neural networks template direction constraints thinning |
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