Advances in Biometrics: Third International Conference, ICB by Gary A. Atkinson, Melvyn L. Smith, Lyndon N. Smith, Abdul R.

By Gary A. Atkinson, Melvyn L. Smith, Lyndon N. Smith, Abdul R. Farooq (auth.), Massimo Tistarelli, Mark S. Nixon (eds.)

This ebook constitutes the refereed lawsuits of the 3rd foreign convention on Biometrics, ICB 2009, held in Alghero, Italy, June 2-5, 2009.

The 36 revised complete papers and ninety three revised poster papers offered have been rigorously reviewed and chosen from 250 submissions. Biometric standards lined by means of the papers are assigned to stand, speech, fingerprint and palmprint, multibiometrics and safety, gait, iris, and different biometrics. additionally there are four papers on demanding situations and competitions that presently are less than manner, therefore offering an summary at the assessment of biometrics.

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Faltemier et al. [1] found optimal performance with a modified Borda count technique operating at the rank level. Each rank value was compared to a threshold. Ranks higher than the threshold were replaced by the threshold value and then all ranks were summed. 5% better than sum. All rank-based fusion techniques, lose the proximity of match scores between in rank computation. We propose a new method named the Match Sum Thresholding (MST) approach. MST operates on the set of scores resulting from multiple 3D signature comparisons.

A 3D signature is a vector representation S = [ p1, … pn] (with pn representing 3D points) of the 3D surface constructed from a structured traversal of face positions defined on a reference region. 3D Signatures for Fast 3D Face Recognition Fig. 1. Initial Reference Face Generated 15 Fig. 2. Complete Reference Face After computation of the initial reference faces, a 3D signature is computed for each of the fifty face images in T using the following process. • • • • • The reference face and the training face image T are aligned using ICP, with an initial coarse correspondence obtained from nose alignment.

3D Signatures for Fast 3D Face Recognition Fig. 1. Initial Reference Face Generated 15 Fig. 2. Complete Reference Face After computation of the initial reference faces, a 3D signature is computed for each of the fifty face images in T using the following process. • • • • • The reference face and the training face image T are aligned using ICP, with an initial coarse correspondence obtained from nose alignment. An indexed sequence of locations S = {p1, … pnS}, pi = (xi, yi, zi) consisting of all points on the initial reference face was defined using its canonical coordinate system.

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