2013
DOI: 10.5370/jeet.2013.8.3.633
|View full text |Cite
|
Sign up to set email alerts
|

Temple and Maternity Ward Security using FPRS

Abstract: -A wide range of applications for Foot Print Recognition System is discussed in this paper.The whole concept works under the principle that foot print is a parameter associated with biometrics that is very common as well as distinct. Its foremost application is at the government hospitals in the under developed and third world nations where there aren't the best of facilities. This system can be applied in the maternity ward of the hospitals for the identification or differentiation of the infants. Till date t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…Two attributes gender and age have been selected based on that data visualization and pre-processing have been carried out and then convert the categories into numerical values and finally data has been normalized. If the data is not huge, we can do the data cleaning or delete attributes which are not necessary [20][21][22][23][24][25][26].…”
Section: Build Data Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Two attributes gender and age have been selected based on that data visualization and pre-processing have been carried out and then convert the categories into numerical values and finally data has been normalized. If the data is not huge, we can do the data cleaning or delete attributes which are not necessary [20][21][22][23][24][25][26].…”
Section: Build Data Modelmentioning
confidence: 99%
“…Jaccard Index additionally called a Jaccard comparability coefficient. For instance, if y shows the genuine names of the agitate dataset and shows the anticipated qualities by our classifier [12,22]. Precision = True '+'ve / (True '+'ve + False '+'ve).…”
Section: Jaccard Similarity Scorementioning
confidence: 99%