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首页> 外文会议>International Conference on Artificial Intelligence and Pattern Recognition >Latent fingerprint wavelet transform image enhancement technique for optical coherence tomography
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Latent fingerprint wavelet transform image enhancement technique for optical coherence tomography

机译：光学相干断层扫描的潜在指纹小波变换图像增强技术

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In crime investigation, fingerprint identification plays a major role in identifying culprits. However, traditional procedure of acquiring latent fingerprint tends to be destructive and leads to a limitation of not being able to do further analyses like DNA. Being able to acquire latent fingerprints without physical contact with the surface could be advantageous. These advantages are as follows; being able to acquire the imprint multiple times, there is no physical or chemical processing of a substrate, the substrate can be concurrently analysed for DNA and can provide a non-destructive lifting of the fingerprint. An Optical Coherence Tomography machine is one of the promising technology that may be used for imaging latent fingerprint without contacting or destructing the fingerprint impression left on a substrate. However, owing to the coherent nature of the image formation process, OCT images suffer from speckle noise which limits the contrast of OCT images. In this paper, an algorithm that enhances this OCT latent fingerprint image to ensure reliable extraction of features is proposed. To test the proposed algorithm latent prints were collected and stored as a database. Two statistical and biometric system measurement namely False Match Rate (FMR) and Equal Error Rate (EER) were used. The results of these two measures gives the FMR of 3% and EER of 1.9% for denoised images which is better than non-denoised images where the EER is 8.7%.
机译：在犯罪调查中，指纹识别在识别罪魁祸首中发挥着重要作用。然而，获取潜在指纹的传统程序往往是破坏性的，并导致不能够进一步分析DNA的限制。能够在没有与表面的物理接触的情况下获取潜在的指纹可能是有利的。这些优点如下;能够多次获取印记，没有基板的物理或化学处理，可以同时分析基板的DNA，并且可以提供无损升降的指纹。光学相干断层扫描机是有希望的技术之一，可用于成像潜在指纹，而无需接触或破坏留在基板上的指纹印象。然而，由于图像形成过程的相干性，OCT图像遭受散斑噪声，限制了OCT图像的对比度。在本文中，提出了一种增强该OCT潜在指纹图像以确保可靠提取特征的算法。为了测试所提出的算法潜在的算法被收集并作为数据库存储。使用两个统计和生物识别系统测量即假匹配速率（FMR）和相等的错误率（eer）。这两项措施的结果给出了3％和eer的FMR为1.9％，对于eer为8.7％而言，比未被剥夺的图像更好。

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