Font Acknowledgment and Character Extraction of Digital and Scanned Images

自然场景中的字体印象估计

Font Impression Estimation in the Wild

本文提出基于样本集成与合成字体图像训练CNN的方法，以在标注缺失和噪声条件下稳定估计自然场景中的字体印象，并通过真实书籍封面分析揭示了书籍类型与字体印象之间的相关性趋势。

An Efficient Language-Independent Multi-Font OCR for Arabic Script

Optical Character Recognition (OCR) is the process of extracting digitized text from images of scanned documents. While OCR systems have already matured in many languages, they still have shortcomings in cursive languages with overlapping letters such as the Arabic language. This paper proposes a complete Arabic OCR system that takes a scanned image of Arabic Naskh script as an input and generates a corresponding digital document. Our Arabic OCR system consists of the following modules: Pre-processing, Word-level Feature Extraction, Character Segmentation, Character Recognition, and Post-proce…

Information Extraction from Visually Rich Documents with Font Style Embeddings

Information extraction (IE) from documents is an intensive area of research with a large set of industrial applications. Current state-of-the-art methods focus on scanned documents with approaches combining computer vision, natural language processing and layout representation. We propose to challenge the usage of computer vision in the case where both token style and visual representation are available (i.e native PDF documents). Our experiments on three real-world complex datasets demonstrate that using token style attributes based embedding instead of a raw visual embedding in LayoutLM mode…

Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents

In this digital era, one thing that still holds the convention is a printed archive. Printed documents find their use in many critical domains such as contract papers, legal tenders and proof of identity documents. As more advanced printing, scanning and image editing techniques are becoming available, forgeries on these legal tenders pose a serious threat. Ability to easily and reliably identify source printer of a printed document can help a lot in reducing this menace. During printing procedure, printer hardware introduces certain distortions in printed characters' locations and shapes whic…

An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images

Some historical and more recent printed documents have been scanned or stored at very low resolutions, such as 60 dpi. Though such scans are relatively easy for humans to read, they still present significant challenges for optical character recognition (OCR) systems. The current state-of-the art is to use super-resolution to reconstruct an approximation of the original high-resolution image and to feed this into a standard OCR system. Our novel end-to-end method bypasses the super-resolution step and produces better OCR results. This approach is inspired from our understanding of the human vis…

IDPL-PFOD2：一个面向印刷体波斯语光学字符识别的新型大规模数据集

IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition

本文提出大规模波斯语印刷文本识别数据集 IDPL-PFOD2，包含 2003541 张多字体、样式和尺寸图像，并用 CRNN 和 Vision Transformer 验证其有效性，分别取得 78.49% 和 81.32% 的准确率。