RECOGNITION OF NEW BORN BABIES USING MULTI CLASS SVM

被引：0

作者：

Deepthi, S. ^{[1
]}

Arun, P. S. ^{[1
]}

机构：

[1] Sree Buddha Coll Engn, Dept Comp Sci & Engn, Alappuzha, Kerala, India

来源：

PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT ,POWER AND COMPUTING TECHNOLOGIES (ICCPCT) | 2017年

关键词：

Biometric recognition; swapping; auto encoder; multi class SVM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Biometric recognition can be used for the identification of new born babies. It avoids the swapping, abduction, incorrect identification and accurate census. In this paper, it uses an auto encoder based scheme for extracting the features. Then it is followed by a problem specific distance metric learning through one shot similarity with multi class SVM. The algorithm has been implemented successfully.

引用

页数：4

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