CVAug 8, 2012

Performance Measurement and Method Analysis (PMMA) for Fingerprint Reconstruction

arXiv:1208.1670v12 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental overview for law enforcement and biometric security, summarizing existing knowledge without introducing novel solutions.

The paper tackles the problem of fingerprint reconstruction by analyzing methods and performance measurement, focusing on cases where offenders mutilate their fingerprints to evade identification, but it does not present new results or concrete numbers.

Fingerprint reconstruction is one of the most well-known and publicized biometrics. Because of their uniqueness and consistency over time, fingerprints have been used for identification over a century, more recently becoming automated due to advancements in computed capabilities. Fingerprint reconstruction is popular because of the inherent ease of acquisition, the numerous sources (e.g. ten fingers) available for collection, and their established use and collections by law enforcement and immigration. Fingerprints have always been the most practical and positive means of identification. Offenders, being well aware of this, have been coming up with ways to escape identification by that means. Erasing left over fingerprints, using gloves, fingerprint forgery; are certain examples of methods tried by them, over the years. Failing to prevent themselves, they moved to an extent of mutilating their finger skin pattern, to remain unidentified. This article is based upon obliteration of finger ridge patterns and discusses some known cases in relation to the same, in chronological order; highlighting the reasons why offenders go to an extent of performing such act. The paper gives an overview of different methods and performance measurement of the fingerprint reconstruction.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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