Face image barcodes by distributed cumulative histogram and clustering

被引：0
|
作者：
Melnyk, Roman A. [1 ]
Kalychak, Yurii, I [1 ]
机构：
[1] Lviv Polytech Natl Univ, Software Dept, Lvov, Ukraine
来源：
15TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET - 2020) | 2020年
关键词：
distributed cumulative histogram; K-means clustering; face features; barcode; RECOGNITION;
D O I：
10.1109/TCSET49122.2020.235589
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Two generations of distributed cumulative histogram are in the base of the proposed approach to determine face features. The rough barcodes of the face image were obtained. The clustering K-means algorithm was applied to features to get more contrast bands of color. Then rough barcodes were transformed to real barcodes by highlighting the maximal bands and remaining all other as black background.
引用
收藏
页码：346 / 349
页数：4
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