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Optical character recognition
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This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer Optical Character Recognition (OCR) task. The proposed solution uses a sequenceto-sequence (Seq2Seq) architecture with an attention mechanism. The encoder extracts visual features from an input text-line image via layers of convolutional blocks and a layer of Gated Recurrent Units (GRU).
14p
vibego
02-02-2024
5
0
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In this chapter, you learn what is input and output devices. The keyboard is presented and different keyboard types are described. You are introduced to various pointing devices, such as the mouse, trackball, touchpad, pointing stick, joystick, touchscreen, and pen input. Scanners and reading devices, including optical scanners, optical readers, magnetic ink character recognition readers, and data collection devices are explained,...
12p
haojiubujain04
27-07-2023
9
5
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You are introduced to various pointing devices, such as the mouse, trackball, touchpad, pointing stick, joystick, touchscreen, and pen input. Scanners and reading devices, including optical scanners, optical readers, magnetic ink character recognition readers, and data collection devices are explained,...
14p
haojiubujain04
27-07-2023
7
4
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In this paper, we focus on the task of building Nôm Optical Character Recognition model - one of the important and prerequisite components that supports vast digitizing Nôm documents.
11p
visherylsandberg
18-05-2022
21
2
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The thesis goal is to study on artificial intelligence, the methods and algorithms that have been applied, evaluating the limitations of the current methods in order to propose improved solutions, enhancing the efficiency and accuracy of AI applied in object detection.
118p
linyanjun_2408
21-04-2022
12
1
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This paper investigated several algorithms for data pre-processing including image deskewing, table and document layout analysis to improve the accuracy of the OCR model and then built an end-to-end scanned document management system. We verified the algorithms using a well-known OCR software namely Tesseract.
17p
spiritedaway36
28-11-2021
15
2
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This paper has been an attempt towards the development of an OCR for Arabic Alphabets dedicated to blind and visually impaired persons.
8p
vivalletta2711
11-01-2020
9
1
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Presented how to extend its architecture to form Dilated Pyramidal Residual Network (DPRN), for this long-standing research topic and evaluate it on the problems of automatic speech recognition and optical character recognition. Together, they formed a multi-modal video retrieval framework for Vietnamese Broadcast News. Experiments were conducted on caption images and speech frames extracted from VTV broadcast videos. Results showed that DPRN was not only end-to-end trainable but also performed well in sequence recognition tasks.
6p
elandorr
03-12-2019
14
1
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In the paper, two different convolutional network architectures for recognising Vietnamese text in natural scenes are presentd. Experiments are conducted to compare the performance of two networks in reading Vietnamese restaurant signs. Experimental results show that the deeper network outperforms the other in recognising accuracy and computational time.
8p
viengland2711
23-07-2019
34
0
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In this paper, we present a novel method for the Vietnamese text extraction from images of scanned book covers. The proposed system accepts the book covers snapshot, filters the input image for an enhancement of quality, locates the regions with text, then utilizes the optical character recognizer (OCR) to extract the text.
11p
danhnguyentuongvi
16-12-2018
11
0
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In this chapter, you learn what is input and output devices. The keyboard is presented and different keyboard types are described. You are introduced to various pointing devices, such as the mouse, trackball, touchpad, pointing stick, joystick, touchscreen, and pen input. Scanners and reading devices, including optical scanners, optical readers, magnetic ink character recognition readers, and data collection devices are explained,...
66p
kiepnaybinhyen_04
15-12-2015
79
11
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.Trong khuôn khổ Hội nghị Build 2013 vừa diễn ra, Microsoft công bố sẽ cập nhật thêm các hàm API liên quan cho phép Windows 8 có thể sử dụng tính năng nhận dạng kí tự hình ảnh (Optical Character Recognition - OCR). OCR không phải là một công nghệ mới khi nó đã có mặt trên các smartphone chạy Windows Phone.
5p
camdodoisinhvien
15-07-2013
59
3
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Trình bày kiến thức tổng quan về lĩnh vực OCR (Optical Character Recognition) - Lĩnh vực nhận dạng ký tự quang học. Tìm hiểu nội dung về công nghệ mã nguồn mở Tesseract OCR, công nghệ Android, mô hình client/server, công nghệ dịch Google Translate. Các công nghệ, mô hình này được sử dụng để xây dựng hệ thống. Giới thiệu kiến trúc và các thành phần cơ bản của hệ thống nhận dạng và dịch trên thiết bị di động đã xây dựng. Trình bày kết quả thực nghiệm chức năng rút trích thông tin từ ảnh của hệ...
5p
banhbeovodung
20-06-2013
171
28
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We have adapted a classification approach coming from optical character recognition research to the task of speech emotion recognition. The classification approach enjoys the representational power of a syntactic method and efficiency of statistical classification. The syntactic part implements a tree grammar inference algorithm. We have extended this part of the algorithm with various edit costs to penalise more important features with higher edit costs for being outside the interval, which tree automata learned at the inference stage.
7p
bunthai_1
06-05-2013
61
3
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Optical Character Recognition is a technology that enable human to digitize scanned images, converting into editable text on the computer and increasing the speed of data transmission directly into computer from many source of documents. In addition, it is also useful in handwriting recognition and making digital images searchable for text. In this paper, we proposed anOCR system which is capable of recognizing Vietnamese characters fortyped texts using template matching and artificial neural network recognizing methods.
6p
coxetuanloc
09-01-2013
64
4
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Handwritten text recognition is a difficult problem in the field of pattern recognition. This paper focuses on two aspects of the work on recognizing isolated handwritten Vietnamese characters, including feature extraction and classifier combination. For the first task, based on the work in [1] we will present how to extract features for Vietnamese characters based on gradient, structural, and concavity characteristics of optical character images. For the second task, we first develop a general framework of classifier combination under the context of optical character recognition. ...
17p
tuanlocmuido
19-12-2012
41
2
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Nhận dạng ký tự quang học là kỹ thuật được sử dụng để chuyển đổi ảnh văn bản sang dạng văn bản có thể chỉnh sửa trong máy tính. Nó được ứng dụng trong công tác quét và lưu trữ các tài liệu cũ, đẩy nhanh việc nhập dữ liệu vào máy với ít lỗi hơn. Bài báo này giới thiệu một phương pháp nhận dạng ký tự đó là kỹ thuật mạng nơron. ABSTRACT Optical Character Recognition (OCR) is a technology that is used to convert scanned images of text into...
5p
meoden89nd
20-01-2011
378
121
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