Comparison of cross-correlation and ring-wedge feature extraction in fingerprint recognition

Authors

  • Astra Kristina B. Mallari ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Maricor N. Soriano ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Caesar A. Saloma ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We compare the success rate of discrimination of 100 in-class and out-of-class database fingerprints by cross-correlation and by ring-wedge feature extraction. Cross-correlation was done by getting correlation peak values for test and target prints, while ring-wedge features were used to classify the prints using the least-squares method. Ring-wedge sampling was seen to classify in-class fingerprints better, with a recognition accuracy of 82.11%, against 26.32% for correlation.

SPP 2002 Proceedings Cover

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Published

2002-10-23

Issue

2002: Proceedings of the 20th Samahang Pisika ng Pilipinas Physics Congress

Section

Image and Signal Processing

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How to Cite

[1]
“Comparison of cross-correlation and ring-wedge feature extraction in fingerprint recognition”, Proc. SPP, vol. 20, no. 1, p. SPP-2002-PP-26, Oct. 2002, Accessed: Apr. 01, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2002-PP-26