Support Vector Machine Used for Gender Classification

EasyChair Preprint 8184

Abstract

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

@booklet{EasyChair:8184,
  author    = {Meena Tiwari and Ashish Mishra},
  title     = {Support Vector Machine Used for Gender Classification},
  howpublished = {EasyChair Preprint 8184},
  year      = {EasyChair, 2022}}