Face Recognition Technique: A Literature Survey on Face Recognition and Insight on Machine Recognition Using by Manisha Urkude & S. Kishor & S. Naranje

Face Recognition Technique: A Literature Survey on Face Recognition and Insight on Machine Recognition Using by Manisha Urkude & S. Kishor & S. Naranje

Author:Manisha Urkude & S. Kishor & S. Naranje [Urkude, Manisha]
Language: eng
Format: epub
Publisher: MANISHA URKUDE
Published: 2015-08-01T22:00:00+00:00


Fig 3.3.1.2 ComparisonComparison of KSM and RBM algorithm

KSM Algorithm Eigenface Algorithm 86% 66.90%

Table 3.3.1.6 Recognition rate of KSM and Eigenface algorithm

90% 86%

80% 70% 66.90%

60%

50%

40%

30%

20%

10%

0% KSM Algorithm Eigenface Algorithm

Fig 3.3.1.3 ComparisonComparison of KSM and Eigenface algorithm

KSM Algorithm LDA Algorithm 86% 56.10%

Table 3.3.1.7 Recognition rate of KSM and LDA algorithm

90%86%

80%

70% 60% 56.10%

50%

40%

30%

20%

10%

0% KSM Algorithm LDA Algorithm

Fig 3.3.1.4 ComparisonComparison of KSM and LDA algorithm

KSM Algorithm Pixel Algorithm 86% 51.30%

Table 3.3.1.8 Recognition rate of KSM and Pixel algorithm

90% 86%

80%

70%

60% 51.30%

50%

40%

30%

20%

10%

0% KSM Algorithm Pixel Algorithm

Fig 3.3.1.5 ComparisComparison of KSM and Pixel algorithm

Occlusion by sunglasses Sample A (KSM) Sample B(RoBM) Ka=43 Kb=770

Na=50 Nb=912

Pa=0.86 Pb=0.8443 Pa-Pb=0.0157

Z=0.299

Probability

One tail Two tail 0.3825 0.7649

Table 3.3.1.9 Z ratio of KSM and RoBM algorithm Sample A (KSM) Sample B(RBM) Ka=43 Kb=563

Na=50 Nb=912

Pa=0.86 Pb=0.6173 Pa-Pb=0.2427

Z=3.46

Probability

One tail Two tail 0.0003 0.0005

Table 3.3.1.10 Z ratio of KSM and RBM algorithm Sample A (KSM) Sample B(Eigenface) Ka=43 Kb=610

Na=50 Nb=912

Pa=0.86 Pb=0.6689 Pa-Pb=0.1911

Z=2.818

Probability

One tail Two tail 0.0024 0.0048

Table 3.3.1.11 Z ratio of KSM and Eigenface algorithm Sample A (KSM) Sample B( LDA ) Ka=43 Kb=515

Na=50 Nb=912

Pa=0.86 Pb=0.5647 Pa-Pb=0.2953

Z=4.119

Probability

One tail Two tail <.0001 <.0002

Table 3.3.1.12 Z ratio of KSM and LDA algorithm Sample A (KSM) Sample B(Pixel) Ka=43 Kb=469 Na=50 Na=912

Pa=0.86 Pb=0.5143 Pa-Pb=0.3457

Z=4.771

Probability

One tail Two tail <.0001 <.0002

Table 3.3.1.13 Z ratio of KSM and Pixel algorithm (http://vassarstats.net/propdiff_ind.html)



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