2014
DOI: 10.4028/www.scientific.net/amr.984-985.1345
|View full text |Cite
|
Sign up to set email alerts
|

Intruder Identification Using Footprint Recognition with PCA and SVM Classifiers

Abstract: In modern digital era authentication has been done using biometric recognition. This biometric includes finger print, footprint, facial recognition, DNA of a person’s gene, hand palm print and eye’s iris recognition. The widely used among these is finger print and iris recognition. In this work we proposed a biometric recognition using footprints of a person. Earlier work deals with capturing footprint on a paper or on a surface. This won’t give us accurate foot print, since it depends on nature of the surface… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
15
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 20 publications
(15 citation statements)
references
References 16 publications
0
15
0
Order By: Relevance
“…Murukesh et al [52] has used the PCA method for gait recognition and combined it with footprints to make a multimodal biometric system. Kumar et al [53] have recognized an individual using footprints where PCA has been used to recognize the pattern and to extract the features. Kushwaha et al [54] proposed a footprint based personal identification using the PCA method.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…Murukesh et al [52] has used the PCA method for gait recognition and combined it with footprints to make a multimodal biometric system. Kumar et al [53] have recognized an individual using footprints where PCA has been used to recognize the pattern and to extract the features. Kushwaha et al [54] proposed a footprint based personal identification using the PCA method.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…Management of Postpartum Haemorrhage by Rancogz [5] provides the case study and the Concept of 4T (Tissue, Thrombin, Tone, Trauma), uterine atony, resuscitation, Uterine massage, Uterotonic Agent. Cloud-Based Multinomial Logistic Regression for Analysing Maternal Mortality Data in Postpartum Period by Radite Purwahana, R [6] discusses about the emerging value of misoprostol and global initiatives in the management of PPH, will reduce the incidence of this life-threatening condition in the next few years [21][22][23][24][25][26][27][28][29]. A condom uterine balloon device among referral facilities in Dar Es Salaam: An assessment of perceptions, barriers and facilitators one year after implementation by Adegoke, O [7] gives a successful deliveries with very less inconvenience and damage of the genital parts of women.…”
Section: Related Workmentioning
confidence: 99%
“…The author uses Internet of things with Arduino and Raspberry pi to execute the project. In [7] the author has used two machine learning algorithms one is multi target regression model and another one is recurrent neural network model .using these two models they have predicted rainfall possibilities, temperature and humidity [8][9][10][11][12][13][14][15].…”
Section: Related Workmentioning
confidence: 99%