Character recognition

Xem 1-20 trên 28 kết quả Character recognition
  • Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing, feature extraction or classification, to new applications including human-computer interfaces. The goal of this book is to provide a reference source for academic research and for professionals working in the character recognition field.

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  • This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers

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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.

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  • This glossary defines terms in the field of computer applications. Topics covered include automated language processing, automatic indexing, business data processing, character recognition, computer-aided design and manufacturing, computer-assisted instruction, control systems, critical path method, library automation, medical applications, micrographics, office automation, operations research, personal computing, scientific and engineering applications, telecommunication applications, and word processing....

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  • We present a novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OCR model, an approximate word matching method using character shape similarity, and a word segmentation algorithm using a statistical language model. By using a statistical OCR model and character shape similarity, the proposed error corrector outperforms the previously published method. When the baseline character recognition accuracy is 90%, it achieves 97.4% character recognition accuracy. ...

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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.

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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. ...

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  • We present a portable translator that recognizes and translates phrases on signboards and menus as captured by a builtin camera. This system can be used on PDAs or mobile phones and resolves the difficulty of inputting some character sets such as Japanese and Chinese if the user doesn’t know their readings. Through the high speed mobile network, small images of signboards can be quickly sent to the recognition and translation server.

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  • Ebook Fun with chinese characters 1 fun (in three volumes) makes learning chinese characters entertaining and memorable! Every page contains all the information you need to learn a chinese character: The origin (etymology) of a character, its description and an entertaining illustration by cartoonist tan huay peng; Knowing the origin greatly simplify the recognition the characters.

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  • It is important to correct the errors in the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features of character co-occurrence, and evaluates the method. The proposed method comprises two successive correcting processes. The first process uses pairs of strings: the first string is an erroneous substring of the utterance predicted by speech recognition, the second string is the corresponding section of the actual utterance.

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  • This paper presents a multilingual system designed to recognize named entities in a wide variety of languages (currently more than 12 languages are concerned). The system includes original strategies to deal with a wide variety of encoding character sets, analysis strategies and algorithms to process these languages.

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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...

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  • Khóa luận Tốt nghiệp cử nhân CNTT: Tra từ điển Anh Việt qua camera trên điện thoại di động dùng android có mục tiêu là xây dựng một ứng dụng trên điện thoại di động sử dụng camera để quét hình ảnh và sử dụng bộ nhận diện ký tự quang học (Optional Character Recognition – OCR) để rút trích ra các từ trong hình ảnh. Từ đó làm dữ liệu đầu vào cho việc tra từ.

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  • Khóa luận Tốt nghiệp cử nhân CNTT: Tra từ điển Anh Việt qua camera trên điện thoại di động dùng android có mục tiêu là xây dựng một ứng dụng trên điện thoại di động sử dụng camera để quét hình ảnh và sử dụng bộ nhận diện ký tự quang học (Optional Character Recognition – OCR) để rút trích ra các từ trong hình ảnh. Từ đó làm dữ liệu đầu vào cho việc tra từ.

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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.

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  • der impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes,

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  • Ebook Fun with Chinese Characters 3 (in three volumes) makes learning Chinese characters entertaining and memorable! Every page contains all the information you need to learn a Chinese character: the origin (etymology) of a character, its description and an entertaining illustration by cartoonist Tan Huay Peng. Knowing the origin greatly simplify the recognition the characters. The cartoons which accompany each character are often comical and clever.

    pdf0p thanhha_hihi 29-08-2016 24 11   Download

  • The inevitability of a disease sounds a clarion for its prevention, or at least its control. Understanding its pathophysiology is essential to that process. For osteoarthritis, preconceived notions and mythology must be transcended to allow identification of its essentials. The first step was to establish a scientific basis for its recognition. Sorting associated phenomenon allowed identification of those which are non-diagnostic, and one major finding which is pathognomonic: the joint osteophyte.

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  • These lectures intend to give a self-contained exposure of some techniques for computing the evolution of plane curves. The motions of interest are the so-called motions by curvature. They mean that, at any instant, each point of the curve moves with a normal velocity equal to a function of the curvature at this point. This kind of evolution is of some interest in differential geometry, for instance in the problem of minimal surfaces.

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