Fingerprint evidence played an important role in investigation,prosecution,and trial process due to the belief of its uniqueness and unchanged characteristics.However,in recent years,the science behind the process of ...Fingerprint evidence played an important role in investigation,prosecution,and trial process due to the belief of its uniqueness and unchanged characteristics.However,in recent years,the science behind the process of fingerprint comparisons has been questioned.Main research questions have been focusing on the opaqueness within the comparison processes,subjective judgments,lack of universal standards,no error rate expression on final conclusions,and poor scientific fundamental research data.Facing the above-mentioned questions,this paper aims to suggest a quality control system(QCS)for fingerprint comparison processes.This QCS is based on the use of software(PiAnoS)and its technological features,being able to provide a data management model to increase the transparency and quality of fingerprint comparison processes.展开更多
In this paper, we propose an experimental scheme for unambiguous quantum state comparison assisted by linear optical manipulations, twin-photons produced from parametric down-conversion, and postselection from the coi...In this paper, we propose an experimental scheme for unambiguous quantum state comparison assisted by linear optical manipulations, twin-photons produced from parametric down-conversion, and postselection from the coincidence measurement. In this scheme the preparation of the general two mixed qubit states with arbitrary prior probabilities and the realization of the optimal POVMs for unambiguous quantum state comparison are presented. This proposal is feasible by current experimental technology, and may be used in single-qubit quantum fingerprinting.展开更多
要实现指纹识别技术,必须使用图像特征的提取技术,尺度不变特征变换(ScaleInvariantFeature Transform,SIFT)和加速稳健特征(Speeded Up Robust Features,SURF)是目前运用比较广泛的两种图像特征提取算法。为验证哪种算法在指纹识别领...要实现指纹识别技术,必须使用图像特征的提取技术,尺度不变特征变换(ScaleInvariantFeature Transform,SIFT)和加速稳健特征(Speeded Up Robust Features,SURF)是目前运用比较广泛的两种图像特征提取算法。为验证哪种算法在指纹识别领域更适用,文章使用同一手指指纹的多张照片为图库,分别使用两种方法进行同一图自我匹配、指纹角度、范围不同图片匹配及较为模糊的图片匹配等实验。通过实验得出:虽然SIFT算法比SURF算法耗时更长,但是使用SIFT算法的运算量小于SURF算法,因此两种算法花费的时间近乎相等;在指纹对比库的创建方面,SIFT算法要优于SURF算法;在指纹匹配识别过程中,无论是同一张图片自我匹配,还是指纹角度和范围不同的图片进行匹配、指纹不清晰的图片进行匹配,SIFT算法的成功匹配点比SURF算法的成功匹配点分布更均匀,且数量相近或更多。可见,在指纹识别系统中,使用SIFT算法比SURF算法更合适。展开更多
为提高移动台定位算法的精度,研究了基于接收信号强度(received signal strength,RSS)空时处理的指纹定位算法。该算法包含指纹数据库的建立和指纹比对,在指纹数据库建立过程中,利用空时处理的方法克服无线信号的衍射﹑散射等影响;指纹...为提高移动台定位算法的精度,研究了基于接收信号强度(received signal strength,RSS)空时处理的指纹定位算法。该算法包含指纹数据库的建立和指纹比对,在指纹数据库建立过程中,利用空时处理的方法克服无线信号的衍射﹑散射等影响;指纹比对时,研究了相同邻小区个数的选择对定位误差的影响,得出相同邻小区个数的最优选择。仿真结果表明,算法减小了RSS的波动性,具有低运算复杂度和高精度。展开更多
基金This paper was supported by award number 71371188(on evidence evaluation model and its application,a study based on decision-making in management and court)funded by China National Natural Science Fund and Award number 2016XCWZK08 funded by Shanghai Key Laboratory of Crime Scene Evidence.
文摘Fingerprint evidence played an important role in investigation,prosecution,and trial process due to the belief of its uniqueness and unchanged characteristics.However,in recent years,the science behind the process of fingerprint comparisons has been questioned.Main research questions have been focusing on the opaqueness within the comparison processes,subjective judgments,lack of universal standards,no error rate expression on final conclusions,and poor scientific fundamental research data.Facing the above-mentioned questions,this paper aims to suggest a quality control system(QCS)for fingerprint comparison processes.This QCS is based on the use of software(PiAnoS)and its technological features,being able to provide a data management model to increase the transparency and quality of fingerprint comparison processes.
基金Project supported by the Research Projects of Huaqiao University of China (Grant No 07BS406)
文摘In this paper, we propose an experimental scheme for unambiguous quantum state comparison assisted by linear optical manipulations, twin-photons produced from parametric down-conversion, and postselection from the coincidence measurement. In this scheme the preparation of the general two mixed qubit states with arbitrary prior probabilities and the realization of the optimal POVMs for unambiguous quantum state comparison are presented. This proposal is feasible by current experimental technology, and may be used in single-qubit quantum fingerprinting.
文摘要实现指纹识别技术,必须使用图像特征的提取技术,尺度不变特征变换(ScaleInvariantFeature Transform,SIFT)和加速稳健特征(Speeded Up Robust Features,SURF)是目前运用比较广泛的两种图像特征提取算法。为验证哪种算法在指纹识别领域更适用,文章使用同一手指指纹的多张照片为图库,分别使用两种方法进行同一图自我匹配、指纹角度、范围不同图片匹配及较为模糊的图片匹配等实验。通过实验得出:虽然SIFT算法比SURF算法耗时更长,但是使用SIFT算法的运算量小于SURF算法,因此两种算法花费的时间近乎相等;在指纹对比库的创建方面,SIFT算法要优于SURF算法;在指纹匹配识别过程中,无论是同一张图片自我匹配,还是指纹角度和范围不同的图片进行匹配、指纹不清晰的图片进行匹配,SIFT算法的成功匹配点比SURF算法的成功匹配点分布更均匀,且数量相近或更多。可见,在指纹识别系统中,使用SIFT算法比SURF算法更合适。
文摘为提高移动台定位算法的精度,研究了基于接收信号强度(received signal strength,RSS)空时处理的指纹定位算法。该算法包含指纹数据库的建立和指纹比对,在指纹数据库建立过程中,利用空时处理的方法克服无线信号的衍射﹑散射等影响;指纹比对时,研究了相同邻小区个数的选择对定位误差的影响,得出相同邻小区个数的最优选择。仿真结果表明,算法减小了RSS的波动性,具有低运算复杂度和高精度。
