Abstract
The performance of an fingerprint recognition system is measured by its accuracy in recognition. For a feature-based fingerprint recognition system, the accuracy is heavily depend on the chosen feature set. A fingerprint image may suffer from problems like translation, rotation, scaling and elastic distortion due to different imaging conditions. A fingerprint recognition algorithm should address these problems before building the feature set. We present a novel method of representing the fingerprint ridge shape as the feature set by combining chain code and fourier descriptor for fingerprint recognition. Experimental results shows that our proposed algorithm is reliable for fingerprint recognition.
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Geevar, C.Z., Sojan Lal, P. (2011). Combining Chain-Code and Fourier Descriptors for Fingerprint Matching. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_48
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DOI: https://doi.org/10.1007/978-3-642-22720-2_48
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