A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS
The word biometrics refers to the use of physiological or biological characteristics of human to recognize and verify the identity of an individual. Palmprint has become a new class of human biometrics for passive identification with uniqueness and stability. This is considered to be reliable due to...
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Format: | Article |
Language: | English |
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ICT Academy of Tamil Nadu
2012-08-01
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Series: | ICTACT Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://ictactjournals.in/paper/IJIVP(Aug2012)_Vol3_Iss1_P2_452_458.pdf |
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author | A. S. Raja V. Joseph Raj |
author_facet | A. S. Raja V. Joseph Raj |
author_sort | A. S. Raja |
collection | DOAJ |
description | The word biometrics refers to the use of physiological or biological characteristics of human to recognize and verify the identity of an individual. Palmprint has become a new class of human biometrics for passive identification with uniqueness and stability. This is considered to be reliable due to the lack of expressions and the lesser effect of aging. In this manuscript a new Palmprint based biometric system based on neural networks self organizing maps (SOM) is presented. The method is named as SOMP. The paper shows that the proposed SOMP method improves the performance and robustness of recognition. The proposed method is applied to a variety of datasets and the results are shown. |
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id | doaj.art-64db0169160d46a88a1dfd4bb98f4ebc |
institution | Directory Open Access Journal |
issn | 0976-9099 0976-9102 |
language | English |
last_indexed | 2024-04-12T00:39:31Z |
publishDate | 2012-08-01 |
publisher | ICT Academy of Tamil Nadu |
record_format | Article |
series | ICTACT Journal on Image and Video Processing |
spelling | doaj.art-64db0169160d46a88a1dfd4bb98f4ebc2022-12-22T03:55:03ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022012-08-0131452458A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPSA. S. Raja0V. Joseph Raj1Sathyabama University, IndiaDepartment of Computer Science, Kamaraj College, IndiaThe word biometrics refers to the use of physiological or biological characteristics of human to recognize and verify the identity of an individual. Palmprint has become a new class of human biometrics for passive identification with uniqueness and stability. This is considered to be reliable due to the lack of expressions and the lesser effect of aging. In this manuscript a new Palmprint based biometric system based on neural networks self organizing maps (SOM) is presented. The method is named as SOMP. The paper shows that the proposed SOMP method improves the performance and robustness of recognition. The proposed method is applied to a variety of datasets and the results are shown.http://ictactjournals.in/paper/IJIVP(Aug2012)_Vol3_Iss1_P2_452_458.pdfBiometricsPalmprintSelf Organizing Maps (SOM) |
spellingShingle | A. S. Raja V. Joseph Raj A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS ICTACT Journal on Image and Video Processing Biometrics Palmprint Self Organizing Maps (SOM) |
title | A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS |
title_full | A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS |
title_fullStr | A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS |
title_full_unstemmed | A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS |
title_short | A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS |
title_sort | new recognition technique named somp based on palmprint using neural network based self organizing maps |
topic | Biometrics Palmprint Self Organizing Maps (SOM) |
url | http://ictactjournals.in/paper/IJIVP(Aug2012)_Vol3_Iss1_P2_452_458.pdf |
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