A study on feature extraction for face recognition using Self Organizing Maps
Clicks: 251
ID: 13871
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
63.4
/100
251 views
204 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #48 of 148 articles by views in adbu journal of engineering technology
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 148 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper deals with the study related to the face recognition algorithms and process of developing a Self-Organizing Map (SOM) in order to carry out the process of face recognition in case of humans. Initially the paper deals with the various general steps involved in the structure and statistics based face recognition algorithms. However in the later part the key step used in the unsupervised algorithm as well as the combination of SOM and Hierarchical Self Organizing Map (HSOM) along with the aid of Gabor filters were discussed in order to carry out an efficient process of facial recognition. The feature selection criteria are also discussed in detail in order to achieve a high end result. Keywords:SOM, HSOM, Gabor filters, unsupervised learning, feature extraction
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (125 words).
Try re-searching for a better abstract.
| Reference Key |
medhi2016aadbu
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Nupur Choudhur, Rupesh Mandal, Smriti Priya Medhi; |
| Journal | adbu journal of engineering technology |
| Year | 2016 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.