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指纹识别是一种重要的生物特征鉴别技术。随着计算机技术的不断发展,自动指纹识别系统得到广泛的应用。因此进一步提高指纹识别的性能具有十分重要的意义,而指纹图像增强在指纹图像预处理过程中非常重要,直接影响指纹识别的识别率和识别速度。对指纹图像的细化算法进行了较深入的研究,分析了OPTA算法并且在OPTA算法的基础上,重新构建了细化模板,提出了一种新的细化算法.经过实验证明,该算法能够很好地满足细化的要求,细化完全彻底,细化以后的指纹骨架在纹线中心线,并保持了纹线原有的拓扑结构和细节特征,而且光滑无毛刺,运算速度也很快。 相似文献
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20世纪80年代初期,随着微电子技术的发展,国外报道了利用存储器芯片作为信息载体的数字存储测试仪。20世纪90年代,传感器与微型电子记录仪组为一体的存储测试产品在国际上出现。存储测试技术是从七十年代开始的一种新的弹上参数的测试方法,它是在不影响被测对象或影响在允许范围的条件下,在被测体内置入微型数据采集与存储测试仪,现场实时完成信息的快速采集与记忆,事后回收记录仪,由计算机处理和再现测试信息的一种动态测试技术。 相似文献
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By combing the time-dependent density functional calculations for electrons with molecular dynamics simulations for ions (TDDFT-MD) nonadiabatically in real time, we investigate the microscopic mechanism of collisions between cytosine and low-energy protons with incident energy ranging from 150 eV to 1000 eV. To explore the effects of the collision site and the proton incident energy on irradiation processes of cytosine, two collision sites are specially considered, which are N and O both acting as the proton receptors when forming hydrogen bonds with guanine. Not only the energy loss and the scattering angle of the projectile but also the electronic and ionic degrees of freedom of the target are identified. It is found that the energy loss of proton increases linearly with the increase of the incident energy in both situations, which are 14.2% and 21.1% of the incident energy respectively. However, the scattering angles show different behaviors in these two situations when the incident kinetic energy increases. When proton collides with O, the scattering angle of proton is larger and the energy lost is more, while proton captures less electrons from O. The calculated fragment mass distribution shows the high counts of the fragment mass of 1, implying the production of H+ fragment ion from cytosine even for proton with the incident energy lower than keV. Furthermore, the calculated results show that N on cytosine is easier to be combined with low-energy protons to form NH bonds than O. 相似文献
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无线网络中实时视频业务对网络环境的变化非常敏感,因此通常需要在接收端采用合理的缓存管理策略来缓解网络波动对用户观看视频造成的影响。提出一种基于队列预测的自适应缓存播放管理机制,该方法通过判断当前缓存队列的状态,并根据实时视频到达率和端到端时延对缓存长度以及播放速率进行综合调整。实验结果表明,所提算法可以随着网络环境的波动自适应地调整缓存大小和播放速率,有效降低视频业务的中断频率和丢帧率。 相似文献
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