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Support Vector Machine Used for Gender Classification

EasyChair Preprint no. 8184

10 pagesDate: June 4, 2022


Biometric technology has applications in the field of example confirmation, for example, single brand confirmation, face confirmation, iris confirmation, palm print confirmation, etc. The unique brand confirms that the innovation is recognized and tightly organized when compared to other personal biometric verification advancements. Grouping by sexual orientation is a test that enables PC agencies to organize gender data and assess age based on images of unique trademarks. Therefore, it becomes a staple of PC vision and is confirmed by examples due to its basic application possibilities in character confirmation, video files, robot vision and human-machine interface. In the field of vision of the PC. Highlighting the position is an essential advance in disposition of sexual orientation, because the extraction calculations performed in gender order must remove the highlighting from the fingerprint. The display of the unique brand confirmation will be affected by the accuracy of the sexual orientation grouping.

Keyphrases: affiliation rule mining, Fuzzy C-implies, Gender characterization, Support Vector Machine, SVM, unique mark pictures

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Meena Tiwari and Ashish Mishra},
  title = {Support Vector Machine Used for Gender Classification},
  howpublished = {EasyChair Preprint no. 8184},

  year = {EasyChair, 2022}}
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