Matías Mateu

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We developed an EBGM-based algorithm that successfully implements face recognition under constrained conditions. A suitable adaptation of the Gabor filters was found through a power spectral analisys (PSD) of the face images. We outperformed the best-known implementations of the EBGM algorithm in the FERET database. The results are comparable with those of(More)
We present a biometric system performing both, verification and identification, implementing automatic face recognition. The algorithm is based on Elastic Bunch Graph Matching [1]. EBGM is a technique that uses local information extracted with Gabor filters for discrimination. CSU implementation [2] was used as the main reference of this work. The results(More)
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