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Image Based Hand Recognitions

M. Das1 , S.K. Bandyopadhyay2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 99-102, Apr-2014

Online published on Apr 30, 2014

Copyright © M. Das, S.K. Bandyopadhyay . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Das, S.K. Bandyopadhyay, “Image Based Hand Recognitions,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.99-102, 2014.

MLA Style Citation: M. Das, S.K. Bandyopadhyay "Image Based Hand Recognitions." International Journal of Computer Sciences and Engineering 2.4 (2014): 99-102.

APA Style Citation: M. Das, S.K. Bandyopadhyay, (2014). Image Based Hand Recognitions. International Journal of Computer Sciences and Engineering, 2(4), 99-102.

BibTex Style Citation:
@article{Das_2014,
author = {M. Das, S.K. Bandyopadhyay},
title = {Image Based Hand Recognitions},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {99-102},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=116},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=116
TI - Image Based Hand Recognitions
T2 - International Journal of Computer Sciences and Engineering
AU - M. Das, S.K. Bandyopadhyay
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 99-102
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

The use of hands as biometric evidence is not very new, and commercially available. The proposed method is compared to other methods a method for extension. This will give better result as seen from the output. The personal attributes used in a biometric recognition system may be hand recognition This paper investigates a new approach to achieve performance improvement for hand area geometry systems by recognition of area of finger and hand and also the relative area between finger and hand which reduces the conventional hand geometry based personal verification systems.

Key-Words / Index Term

Biological Models, Contour Detection, Human Computer Interaction, Image Analysis

References

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