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首页> 外文期刊>Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR >A New Algorithm for Locating and Extracting Minutiae from Fingerprint Images
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A New Algorithm for Locating and Extracting Minutiae from Fingerprint Images

机译：一种从指纹图像定位和提取细节的新算法

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摘要

Fingerprints are considered as the oldest and most widely used in the world for biometric identification. Every person has unique and permanent fingerprints. Most automatic fingerprint recognition systems are based on features formed from lines known as minutiae. Building a database of unique minutiae is very important in the security systems because it concerns the identification of the person committing a crime through the latent left in the crime scene. This research presents a new algorithm to give a minutia a unique value leading to accelerating the search process for a person. The algorithm splits the fingerprint image into four sections, then calculates the values for each minutia in each section and stores it in a database that is designed for this purpose. This research provides a great opportunity and additional options to fingerprint experts in order to solve many cases that are still undiscovered while searching for the latent in the database of minutiae. The results of testing this algorithm were very successful, very encouraging and helpful to fingerprint experts in their work.
机译：指纹被认为是世界上最古老，最广泛使用的生物识别识别。每个人都有独特和永久的指纹。大多数自动指纹识别系统基于由称为细节的线形成的特征。建立一个独特的minutiae的数据库在安全系统中非常重要，因为它涉及通过犯罪现场的潜在潜在的潜在潜在的犯罪的人的识别。本研究提出了一种新的算法，可以为细节提供一个独特的值，导致为一个人加速搜索过程。该算法将指纹图像分为四个部分，然后计算每个部分中每个细节的值，并将其存储在为此目的而设计的数据库中。本研究为指纹专家提供了一个很好的机会和其他选择，以解决许多仍然被发现的案例，同时搜索细节数据库的潜伏。测试该算法的结果非常成功，非常令人鼓舞并有助于指纹专家在工作中。

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