Fingerprint is the most well-known and successfully deployed biometric modalities in view of its ease of acquisition, established use, acceptance and high recognition rate (i.e., robustness). This is also due in part to its use in crime scene investigations to link crimes to suspected individuals. One form of fingerprint is called the latent fingerprint. Despite its subtle appearance, the latent fingerprint is commonly left all over the place unintentionally, including on water taps, door knobs, elevator buttons, and cups. To lift these latent fingerprints, the conventional approach involving the process of powdering and taping may physically damage the latent fingerprint. Therefore, a reduced contact method is desirable. This paper focuses on latent fingerprints left on curved surfaces, such as water taps, door knobs, and water flasks. The latent fingerprint is uncovered (i.e., made visible) by means of fuming, and the end product is captured by a camera. A geometrical compensation method, which takes the curvature of the surface into consideration, is formulated to geometrically correct (i.e., flatten) the image. The corrected image is further enhanced and sent for matching purposes. Experiments show that the application of the proposed geometrical compensation method is able to flatten the fingerprint image uncovered from a single directional curved surface and improve its matching score.

鉴于其易于获取，确定的使用，接受和较高的识别率（即鲁棒性），指纹识别是最著名且成功部署的生物识别方式。这也部分归因于其在犯罪现场调查中用于将犯罪与可疑人员联系起来。指纹的一种形式称为潜指纹。尽管有潜在的指纹，但潜在的指纹通常无意间留在了整个地方，包括在水龙头，门把手，电梯按钮和杯子上。为了抬起这些潜在指纹，涉及粉末化和胶粘过程的常规方法可能会物理损坏该潜在指纹。因此，期望一种减少接触的方法。本文重点研究弯曲的表面（例如水龙头，门把手和水杯）上留下的潜在指纹。潜在的指纹通过发烟被发现（即变得可见），并且最终产品被照相机捕获。制定了一种考虑表面曲率的几何补偿方法，以对图像进行几何校正（即平整化）。校正后的图像会进一步增强并发送用于匹配目的。实验表明，所提出的几何补偿方法的应用能够使从单个方向弯曲的表面上发现的指纹图像变平并提高其匹配分数。校正后的图像会进一步增强并发送用于匹配目的。实验表明，所提出的几何补偿方法的应用能够使从单个方向弯曲的表面上发现的指纹图像变平并提高其匹配分数。校正后的图像会进一步增强并发送用于匹配目的。实验表明，所提出的几何补偿方法的应用能够使从单个方向弯曲的表面露出的指纹图像变平，并提高其匹配度。