# Improved pattern recognition of various traditional clothes with Convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improved-pattern-recognition-of-various-traditional-clothes-with-convolutional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Varyl Hasbi Athala,Abdul Haris Rangkuti,Naufal Fauzi Luthfi,Syaugi Vikri Aditama,Johan Muliadi Kerta |
| Citations | 8 |
| DOI | 10.1109/ismee54273.2021.9774136 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4285332818 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Abdul Haris Rangkuti](https://scholariq.org/researchers/abdul-haris-rangkuti/)
- [Johan Muliadi Kerta](https://scholariq.org/researchers/johan-muliadi-kerta/)

## Paper primary topic

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Paper topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.