Research Article

# Multialgorithmic Frameworks for Human Face Recognition

## Table 1

Recognition accuracies of uncorrelated face recognition methods and their fusion using different normalization and fusion techniques.
 Algorithms Database Normalization techniques Accuracies (%) Unibiometric Multialgorithmic fusion Sum rule Max rule Min rule Eigenfaces (E) Fisherfaces (F) LBP (L) A-LBP (A) AT & T (ORL) [17] MM (E): 95.45 (E + L): 95.32 (E + L): 95.38 (E + L): 94.97 (F): 97.50 (F + L): 97.79 (F + L): 97.50 (F + L): 97.28 (L): 94.52 (E + A): 97.05 (E + A): 95.42 (E + A): 96.86 (A): 95.00 (F + A): 97.95 (F + A): 97.50 (F + A): 97.50 Eigenfaces (E) Fisherfaces (F) LBP (L) A-LBP (A) AT & T (ORL) [17] Tanh (E): 96.54 (E + L): 95.64 (E + L): 93.24 (E + L): 95.38 (F): 97.50 (F + L): 97.79 (F + L): 97.50 (F + L): 97.44 (L): 94.49 (E + A): 97.31 (E + A): 94.97 (E + A): 95.13 (A): 94.87 (F + A): 97.95 (F + A): 97.44 (F + A): 97.60 Eigenfaces (E) Fisherfaces (F) LBP (L) A-LBP (A) LFW [18] MM (E): 65.00 (E + L): 72.24 (E + L): 72.18 (E + L): 60.32 (F): 70.00 (F + L): 72.50 (F + L): 72.14 (F + L): 70.00 (L): 65.29 (E + A): 72.50 (E + A): 72.46 (E + A): 62.11 (A): 67.37 (F + A): 72.14 (F + A): 70.25 (F + A): 69.29 Eigenfaces (E) Fisherfaces (F) LBP (L) A-LBP (A) LFW [18] Tanh (E): 65.03 (E + L): 69.93 (E + L): 71.73 (E + L): 65.19 (F): 69.84 (F + L): 72.50 (F + L): 70.19 (F + L): 67.91 (L): 65.42 (E + A): 72.62 (E + A): 69.93 (E + A): 65.03 (A): 67.12 (F + A): 72.24 (F + A): 72.30 (F + A): 67.91

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.