随着智能手机的普及和移动互联网的飞速发展,通过摄像头捕捉、识别和理解场景中的文字信息已成为一种常见需求。传统的光学字符识别(OCR)技术虽然已在文档扫描等领域取得了显著成就,但在处理复杂多变的自然场景文字时却显得力不从心。近年来,端到端(End-to-End)的场景文字识别技术逐渐崭露头角,以其强大的识别能力和...
传统的OCR(光学字符识别)技术主要面向高质量的文档图像,而自然场景中的文字识别则面临诸多挑战,如背景复杂、字体多样、分布随意等。End-to-End场景文字识别技术应运而生,旨在解决这些问题,提高识别效率和准确性。 基本原理 End-to-End场景文字识别技术从物体识别角度出发,将文字检测和识别两个过程紧密结合,形成一个统...
1.2. 基于OCR引擎的有哪些问题 2. 模型 2.1. Encoder 2.2. Decoder 3. 策略 3.1. 预训练 3.2. 微调 4. 实验和结果 4.1. 配置 4.3. 结果 论文地址:DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents 发表时间:2023 作者团队:DataLab Groupe 法国 发表情况:ICDAR 2023 代...
Add a description, image, and links to the end-to-end-ocr topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository with the end-to-end-ocr topic, visit your repo's landing page and select "manage topi...
Such verification is mainly accomplished according to the widespread Know Your Client (KYC) protocol, which relies on a self-identification handled by the user, typically providing personal data from their identification document (ID). In the current digital communication generation, such a task is ...
浅析点对点(End-to-End)的场景文字识别,随着智能手机的广泛普及和移动互联网的迅速发展,通过手机等移动终端的摄像头获取、检索和分享资讯已经逐步成为一种生活方式。基于摄像头的(Camera-based)的应用更加强调对拍摄场景的理解。通常,在文字和其他物体并存的场景,用户往
CV-OCR经典论文解读｜Bridging the Gap Between End-to-End……论文标题 Bridging the Gap Between End-to-End and Two-Step Text Spotting 论文链接:https://volctracer.com/w/p8nUa8hW 论文作者 Mingxin Huang, Hongliang Li, Yuliang Liu, Xiang Bai, Lianwen Jin 内容简介 该论文介绍了一种名为Bridging ...
问题缘起 在 ICDAR-2015 的场景文本端到端检测与识别任务中,总会出现 2 个不同的检测指标:End-to-End 和 Word Spotting,计算出来的数值一般有一点区别。一直搞不懂这两个指标的区别在哪,最近看到了一篇论文[1],里面给出了这两个指标的解释。 解答 直接贴图: 可以看到
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks 简称End-to-end with CRNN,是ICCV 2017 澳大利亚阿德莱德大学沈春华老师组的作品 ,是第一篇提出端到端OCR文字检测+识别的文章主…
Deep TextSpotter: An End-To-End Trainable Scene Text Localization and Recognition Framework Single Shot Text Detector With Regional Attention Towards End-To-End Text Spotting With Convolutional Recurrent Neural Networks WeText: Scene Text Detection Under Weak Supervision Self-Organized Text Detection With ...