男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Top 10 List

Top 5 technologies for optical character detection

chinadaily.com.cn | Updated: 2018-12-04 06:50
Share
Share - WeChat
Chinese tech company Cloudwalk's algorithm Pixel-Anchor ranked first on list of results on ICDAR 2017 MLT Chinese. [Photo provided to chinadaily.com.cn]

China has grabbed the top five spots in a prestigious global ranking in the optical character recognition field, according to a report by The Paper.

The ranking from the International Conference on Document Analysis and Recognition, an important index in OCR field, was reset by Chinese tech company Cloudwalk's algorithm Pixel-Anchor, which took top spot in the latest single-scale results on ICDAR 2015.

ICDAR2015 is a pure English text detection sub-data set, used to test algorithms of text detection organically through robust reading competitions established by ICDAR in 2003, aiming to improve text detection and recognition level in natural scene.

The robust reading competitions, with open testing data set online and results submitted anytime, have attracted over 3,500 participating teams from 89 countries and regions, including Google, Microsoft, Amazon and Facebook.

Let's take a look at the top 5 technologies in optical character detection.

No 5 Alibaba with IncepText algorith

OCR technology can be applied in various fields such as photo analysis, license plate recognition and image advertisement filtering. [Photo provided to chinadaily.com.cn]
1 2 3 4 5 Next   >>|
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 鄯善县| 双牌县| 青铜峡市| 涟源市| 济源市| 芷江| 汾阳市| 遂昌县| 安康市| 南皮县| 荥阳市| 桐梓县| 阿克陶县| 双流县| 灵石县| 武宁县| 噶尔县| 门源| 漳平市| 桂东县| 天峻县| 社旗县| 谷城县| 连平县| 毕节市| 兴和县| 曲麻莱县| 新宁县| 新田县| 布尔津县| 攀枝花市| 吴堡县| 天台县| 连山| 文成县| 龙州县| 贵南县| 政和县| 天门市| 德钦县| 古浪县| 天门市| 赫章县| 同江市| 峨眉山市| 弥勒县| 寿宁县| 永寿县| 丹棱县| 修水县| 涿州市| 潮州市| 惠水县| 高唐县| 武鸣县| 连山| 科尔| 牟定县| 德阳市| 登封市| 宁德市| 邯郸县| 南川市| 和林格尔县| 黄大仙区| 曲阳县| 普格县| 怀安县| 竹溪县| 南汇区| 色达县| 乐陵市| 温泉县| 沾化县| 永德县| 独山县| 科技| 定西市| 远安县| 黑山县| 肇源县| 夏津县|