基于同一潜在证据的高效指纹分析和DNA分析在法医学上的应用

Jyothi Johnson, R. Chitra, A. Anusha Bamini
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引用次数: 0

摘要

在法医证据分析中,潜在脊印(指纹)和DNA分析一直被认为是相互排斥的。然而,由于处理和敏感性问题,这些双重评价被排除在外。因此,从类似的潜在证据中提出了有效的FP分析(FPA)和DNA分析,用于法医应用。这里考虑FP的特征和FP内的DNA成分。特征被合并;然后,它被输入到新的以区域外正则化为中心的改进人工神经网络(ZR-IANN)中,该网络可以精确预测嫌疑人是冒名顶替者还是真品。该方法的总体识别准确率为98.54%。因此,建议的方法优于其他流行的技术。
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An Efficient Fingerprint Analysis and DNA Profiling from the Same Latent Evidence for the Forensic Applications
The latent ridge impressions (Finger Prints (FPs)) and DNA profiling have been regarded as mutually exclusive for the analysis of Forensic Evidence (FE). However, these dual evaluations were excluded due to the processing and sensitivity problems. Thus, effectual FP Analysis (FPA) and DNA profiling from similar latent evidence were proposed for forensic applications. The features from the FP and the DNA components within the FP are regarded here. The features were merged; then, it is inputted to the new Zone-out Regularization-centric Improved Artificial Neural Network (ZR-IANN) that exhibited precise predictions of whether the suspect is an imposter or a genuine one. The overall recognition accuracy of 98.54% was attained by the proposed technique. Hence, the proposed methodology surpasses other prevailing techniques.
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