A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping

By Zsolt Miklós Kovács-Vajna. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

386 citations recorded by the source corpus.

Subfields: Information Systems, Safety Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/af2f78f9e9b562403524758bdeb015d7ea8b56ef

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Citations in the corpus

A minutia-based partial fingerprint recognition system (2005, background): “Keywords: Partial fingerprint; Similarity score; Minimum cost flow; Minutia; Fingerprint matching”
Exact indexing of dynamic time warping (2002, methodology): “1, we justified using warping windows by noting that researchers who use DTW to solve real-world problems have documented their utility (Aach and Church 2001; Caiani et al. 1998; Gavrila and Davis 1995; Gollmer and Posten 1995; Itakura 1975; Kovacs-Vajna 2000; Munich and Perona 1999; Rath and Manmat”
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation (2019, background): “distortions, brightness variations, and lack of features of latent fingerprints [67].”
Making Time-Series Classification More Accurate Using Learned Constraints (2004, methodology): “DTW has been effectively used to align biometric data, such as gait [18], signatures [34], fingerprints [30], and ECGs [5].”
A review of biometric technology along with trends and prospects (2014, methodology): “Table 1: Summary of hand region modalities: Modality Feature Set Recognition Techniques Datasets Fingerprint Ridge flow, ridge pattern, singular points, ridge skeleton, ridge flow, ridge ending, ridge contours, ridge kernel, orientation field, island, spur, crossover, learned feature, sweat pores, d”
Comparative study on classifying human activities with miniature inertial and magnetic sensors (2010, methodology): “Besides speech recognition, DTW has been used in signature and gait recognition, for ECG signal classification, for fingerprint verification, for word spotting in handwritten historical documents on electronic media and machine-printed documents, and for face localization in color images [62,63].”
A hybrid fingerprint matcher (2002, methodology): “Typically, the global configuration defined by the ridge structure is used to determine the class [5][6] of the fingerprint, while the distribution of minutiae points is used to match and establish the similarity between two fingerprints [7][8].”