標題: Titlebook: ; [打印本頁] 作者: Radiofrequency 時間: 2025-3-21 18:22
書目名稱Guide to OCR for Arabic Scripts影響因子(影響力)
書目名稱Guide to OCR for Arabic Scripts影響因子(影響力)學科排名
書目名稱Guide to OCR for Arabic Scripts網(wǎng)絡公開度
書目名稱Guide to OCR for Arabic Scripts網(wǎng)絡公開度學科排名
書目名稱Guide to OCR for Arabic Scripts被引頻次
書目名稱Guide to OCR for Arabic Scripts被引頻次學科排名
書目名稱Guide to OCR for Arabic Scripts年度引用
書目名稱Guide to OCR for Arabic Scripts年度引用學科排名
書目名稱Guide to OCR for Arabic Scripts讀者反饋
書目名稱Guide to OCR for Arabic Scripts讀者反饋學科排名
作者: 仔細檢查 時間: 2025-3-21 21:49
Jan Eloff,Madeleine Bihina Bellaticularly in the case of non-Latin scripts such as Arabic and Indic scripts. In this chapter, we present some techniques that have proven effective for the pre-processing of handwritten Arabic documents.作者: Cougar 時間: 2025-3-22 01:50 作者: Rodent 時間: 2025-3-22 08:26 作者: NOVA 時間: 2025-3-22 11:16
https://doi.org/10.1007/978-3-540-33253-4e resulting corpora include both on-line and off-line handwritten data as well as logos, signatures, and mixed-script machine-printed text. All these are described in detail, and some typical examples of documents are given.作者: Androgen 時間: 2025-3-22 13:17 作者: Androgen 時間: 2025-3-22 21:04 作者: effrontery 時間: 2025-3-22 21:43
Features for HMM-Based Arabic Handwritten Word Recognition Systemsistical, based on pixel distributions or local directions. Others are structural, based on the presence of loops, ascenders, or descenders. We show how these features can be efficient within HMM-based systems based on sliding windows or grapheme segmentation.作者: 確保 時間: 2025-3-23 05:08 作者: defuse 時間: 2025-3-23 06:44
Data Collection and Annotation for Arabic Document Analysise resulting corpora include both on-line and off-line handwritten data as well as logos, signatures, and mixed-script machine-printed text. All these are described in detail, and some typical examples of documents are given.作者: 單獨 時間: 2025-3-23 10:18 作者: Optometrist 時間: 2025-3-23 15:57
Software Process Improvement A European View reported techniques for each phase. In addition, different databases for printed Arabic text recognition are discussed here. We conclude this chapter by presenting several experimental results for hidden Markov model (HMM)-based printed Arabic text recognition.作者: Kaleidoscope 時間: 2025-3-23 18:14
Attribute-Based Model of Software Sizetabase is presented in the main part of this contribution. The pre-processing of the name images, e.g., baseline estimation, normalization, and feature extraction as well as the hidden Markov model (HMM)-based recognizer together with the results achieved are presented and discussed in detail in this chapter.作者: 拔出 時間: 2025-3-24 01:01
Lessons from the EUREX Workshopsmodels. A?two-level decoding algorithm is proposed to reduce the complexity. The system has been tested on the IFN/ENIT database, and the results show significant improvement for the multi-stream approach compared to the performances reported recently on the same database.作者: 他姓手中拿著 時間: 2025-3-24 05:43 作者: Immortal 時間: 2025-3-24 10:08 作者: 無能力之人 時間: 2025-3-24 12:01 作者: 防止 時間: 2025-3-24 18:04
Multi-stream Markov Models for Arabic Handwriting Recognitionmodels. A?two-level decoding algorithm is proposed to reduce the complexity. The system has been tested on the IFN/ENIT database, and the results show significant improvement for the multi-stream approach compared to the performances reported recently on the same database.作者: 胡言亂語 時間: 2025-3-24 19:21
https://doi.org/10.1007/978-1-4302-0788-7t images written in different languages (Arabic, Urdu, Persian, etc.) and different styles (Naskh, Nastaliq, etc.). The presented system is based on a suitable combination of different well-established techniques for analyzing Latin script documents that have proven to be robust against different types of document image degradations.作者: Parameter 時間: 2025-3-25 02:40
Layout Analysis of Arabic Script Documentst images written in different languages (Arabic, Urdu, Persian, etc.) and different styles (Naskh, Nastaliq, etc.). The presented system is based on a suitable combination of different well-established techniques for analyzing Latin script documents that have proven to be robust against different types of document image degradations.作者: CHAFE 時間: 2025-3-25 05:28
Modularization and Requirements Engineeringfeature extraction and ensure that no discriminative information is filtered out during feature extraction, which in some sense is integrated into the recognition model. In this chapter, we review this idea along with some extensions that are currently providing state-of-the-art results on Arabic handwritten word recognition.作者: 明確 時間: 2025-3-25 08:34 作者: Lymphocyte 時間: 2025-3-25 14:17
Really Object-Oriented Software Metricses used in Middle East and Central Asian regions. For the development of Farsi handwritten word recognition systems, the CENPARMI group designed and collected a database. Based on statistical features, a Hidden Markov Model based recognizer is developed. First evaluation of the performance of this recognizer shows promising results.作者: Blanch 時間: 2025-3-25 16:44 作者: Halfhearted 時間: 2025-3-25 23:57 作者: 巡回 時間: 2025-3-26 04:01 作者: 圖表證明 時間: 2025-3-26 06:35 作者: flaggy 時間: 2025-3-26 10:15 作者: 美食家 時間: 2025-3-26 13:28 作者: Buttress 時間: 2025-3-26 18:55
Jan Eloff,Madeleine Bihina Bellas are generally language independent, the effectiveness of downstream OCR processes can often be improved by language/script specific adaptations, particularly in the case of non-Latin scripts such as Arabic and Indic scripts. In this chapter, we present some techniques that have proven effective fo作者: 寵愛 時間: 2025-3-27 00:36
https://doi.org/10.1007/978-1-4615-3020-6one, the segmentation will be limited to textual areas or to line extraction in the areas. Although this type of segmentation appears quite simple, its implementation remains a challenging task. This is due to the state of many old documents; the image is of low quality, and the lines are not straig作者: 傻 時間: 2025-3-27 01:13 作者: Spartan 時間: 2025-3-27 07:02 作者: 勉強 時間: 2025-3-27 10:57 作者: 挑剔為人 時間: 2025-3-27 14:09 作者: Awning 時間: 2025-3-27 20:59 作者: 周年紀念日 時間: 2025-3-27 22:46
Really Object-Oriented Software Metricses used in Middle East and Central Asian regions. For the development of Farsi handwritten word recognition systems, the CENPARMI group designed and collected a database. Based on statistical features, a Hidden Markov Model based recognizer is developed. First evaluation of the performance of this r作者: 胡言亂語 時間: 2025-3-28 04:46
The Functional Structure of OS/360,ly, with sophisticated pre-processing techniques used to extract the image features and sequential models such as HMMs used to provide the transcriptions. This chapter considers an alternative system, based on multidimensional recurrent neural networks, that learns directly from pixel data, and desc作者: Hiatus 時間: 2025-3-28 08:29
Software Process Automation in Perspective, theory has been successfully adopted in document analysis realm, such as: online and offline character recognition, font identification, and watermarking in document images. After a short review on fractal dimension, fractal coding and decoding, this chapter will present the results of fractal theo作者: 導師 時間: 2025-3-28 11:52 作者: 小官 時間: 2025-3-28 16:45
Software Process Definition and Modelling,medium to low quality; hence they require a sophisticated recognition algorithm capable of properly extracting the correct text from low quality cursive documents. The Dynamic Time Warp (DTW) algorithm is among the most effective algorithms for cursive writing optical character recognition (OCR). Ho作者: RODE 時間: 2025-3-28 19:46
https://doi.org/10.1007/978-3-540-33253-4certainly present their own challenges to this process, and here we describe our data creation and annotation efforts for Arabic document analysis. The resulting corpora include both on-line and off-line handwritten data as well as logos, signatures, and mixed-script machine-printed text. All these 作者: blister 時間: 2025-3-29 00:30
An Assessment of Arabic Handwriting Recognition Technologycripts. An assessment of the technology for Arabic handwriting recognition is provided based on the published literature. An introduction to the Arabic script is given followed by a description of algorithms for the processes involved: segmentation, feature extraction, classification, and search. Ex作者: Painstaking 時間: 2025-3-29 05:33
Layout Analysis of Arabic Script Documentsnt into a searchable electronic representation. Projection methods are typically employed for extraction of text lines in Arabic script documents. Although projection methods achieve good accuracy on clean, skew-free documents, their performance drops under challenging situations (border noise, skew作者: opinionated 時間: 2025-3-29 08:38 作者: olfction 時間: 2025-3-29 14:56 作者: 過多 時間: 2025-3-29 15:49
Segmentation of Ancient Arabic Documentsone, the segmentation will be limited to textual areas or to line extraction in the areas. Although this type of segmentation appears quite simple, its implementation remains a challenging task. This is due to the state of many old documents; the image is of low quality, and the lines are not straig作者: 控訴 時間: 2025-3-29 20:31
Features for HMM-Based Arabic Handwritten Word Recognition Systemses. In this chapter we explore various types of features which are popular for Arabic cursive handwriting recognition. Some of these features are statistical, based on pixel distributions or local directions. Others are structural, based on the presence of loops, ascenders, or descenders. We show ho作者: Hemiparesis 時間: 2025-3-30 03:16
Printed Arabic Text Recognitionripts, overlapping characters, large number of dots and diacritics, etc. In this chapter, we present a general framework for a printed Arabic text recognition system. We then discuss different phases of such a system, e.g., pre-processing, feature extraction, and classification. We present different作者: 懲罰 時間: 2025-3-30 06:01 作者: 獸皮 時間: 2025-3-30 08:56
RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scriptsof an HMM-based recognition system to handle multiple fonts, different handwriting styles, and their variations. Most current HMM approaches are HTK-based systems which are maximum likelihood (ML) trained and which try to adapt their models to different writing styles using writer adaptive training,作者: 斜 時間: 2025-3-30 16:27 作者: Ophthalmologist 時間: 2025-3-30 16:49 作者: Pepsin 時間: 2025-3-30 22:50
Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networksly, with sophisticated pre-processing techniques used to extract the image features and sequential models such as HMMs used to provide the transcriptions. This chapter considers an alternative system, based on multidimensional recurrent neural networks, that learns directly from pixel data, and desc作者: Parley 時間: 2025-3-31 00:57 作者: instulate 時間: 2025-3-31 06:58 作者: Gobble 時間: 2025-3-31 11:25 作者: adumbrate 時間: 2025-3-31 16:20
Data Collection and Annotation for Arabic Document Analysiscertainly present their own challenges to this process, and here we describe our data creation and annotation efforts for Arabic document analysis. The resulting corpora include both on-line and off-line handwritten data as well as logos, signatures, and mixed-script machine-printed text. All these
