標(biāo)題: Titlebook: Optical Character Recognition Systems for Different Languages with Soft Computing; Arindam Chaudhuri,Krupa Mandaviya,Soumya K Ghosh Book 2 [打印本頁] 作者: Forestall 時(shí)間: 2025-3-21 18:25
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing影響因子(影響力)
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing影響因子(影響力)學(xué)科排名
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing網(wǎng)絡(luò)公開度
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing被引頻次
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing被引頻次學(xué)科排名
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing年度引用
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing年度引用學(xué)科排名
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing讀者反饋
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing讀者反饋學(xué)科排名
作者: 革新 時(shí)間: 2025-3-21 20:32
Book 2017 rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here,作者: 夜晚 時(shí)間: 2025-3-22 03:39
Optical Character Recognition Systems,cation segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.作者: 大廳 時(shí)間: 2025-3-22 07:49 作者: 態(tài)度暖昧 時(shí)間: 2025-3-22 11:47 作者: exostosis 時(shí)間: 2025-3-22 13:05
Optical Character Recognition Systems for French Language,eptron (RFMLP), fuzzy support vector machine (FSVM), fuzzy rough support vector machine (FRSVM) and hierarchical fuzzy bidirectional recurrent neural networks (HFBRNN). The superiority of soft computing techniques is demonstrated through the experimental results.作者: enlist 時(shí)間: 2025-3-22 17:34 作者: 得罪人 時(shí)間: 2025-3-22 23:59 作者: Agility 時(shí)間: 2025-3-23 02:16
Optical Character Recognition Systems for Hindi Language, classification is performed through important soft computing techniques viz rough fuzzy multilayer perceptron (RFMLP), fuzzy support vector machine (FSVM), fuzzy rough support vector machine (FRSVM) and fuzzy markov random fields (FMRF). The superiority of soft computing techniques is demonstrated through the experimental results.作者: reaching 時(shí)間: 2025-3-23 06:21 作者: 我怕被刺穿 時(shí)間: 2025-3-23 13:03 作者: Allergic 時(shí)間: 2025-3-23 17:04 作者: milligram 時(shí)間: 2025-3-23 20:33
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/o/image/702516.jpg作者: mortuary 時(shí)間: 2025-3-24 01:58 作者: Lipoprotein(A) 時(shí)間: 2025-3-24 03:43 作者: Ventricle 時(shí)間: 2025-3-24 06:40
Introduction,Optical character recognition (OCR) is one of the most popular areas of research in pattern recognition [., .] since past few decades. It is an actively studied topic in industry and academia [., ., ., .] because of its immense application potential. OCR was initially studied in early 1930s [.].作者: Aphorism 時(shí)間: 2025-3-24 14:07
Summary and Future Research,This research monograph is the outcome of the technical report . [.] from the research work done at Birla Institute of Technology Mesra, Patna Campus, India.作者: 變態(tài) 時(shí)間: 2025-3-24 18:39 作者: 擴(kuò)大 時(shí)間: 2025-3-24 21:01
Soft Computing Techniques for Optical Character Recognition Systems,orous methods of character recognition. In the past OCR systems have been built through traditional pattern recognition and machine learning approaches. There has always been a quest to develop best OCR products which satisfy the user’s needs. Since past few decades soft computing techniques have co作者: 鈍劍 時(shí)間: 2025-3-24 23:36 作者: FECT 時(shí)間: 2025-3-25 07:24 作者: jet-lag 時(shí)間: 2025-3-25 09:13 作者: 半圓鑿 時(shí)間: 2025-3-25 12:37
Optical Character Recognition Systems for Latin Language, The Latin language OCR systems have been used successfully in a wide array of commercial applications. The different challenges involved in the OCR systems for Latin language is investigated in this Chapter. The pre-processing activities such as text region extraction, skew detection and correction作者: landmark 時(shí)間: 2025-3-25 16:50
Optical Character Recognition Systems for Hindi Language, The Hindi language OCR systems have been used successfully in a wide array of commercial applications. The different challenges involved in the OCR systems for Hindi language is investigated in this Chapter. The pre-processing activities such as binarization, noise removal, skew detection, characte作者: 效果 時(shí)間: 2025-3-25 20:28
Optical Character Recognition Systems for Gujrati Language,n. The Gujrati language OCR systems have been used successfully in a wide array of commercial applications. The different challenges involved in the OCR systems for Gujrati language is investigated in this Chapter. The pre-processing activities such as binarization, noise removal, skew detection, ch作者: 指令 時(shí)間: 2025-3-26 00:25
Soft Computing Techniques for Optical Character Recognition Systems,t vector machine (FRSVM), hierarchical fuzzy bidirectional recurrent neural networks (HFBRNN) and fuzzy markov random fields (FMRF). These techniques are used for developing OCR systems for different languages viz English, French, German, Latin, Hindi and Gujrati languages. The soft computing method作者: 暫時(shí)休息 時(shí)間: 2025-3-26 05:17 作者: 爵士樂 時(shí)間: 2025-3-26 10:58
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: mediocrity 時(shí)間: 2025-3-26 16:42
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: 縮短 時(shí)間: 2025-3-26 18:37
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: 同來核對(duì) 時(shí)間: 2025-3-26 23:03 作者: 侵略 時(shí)間: 2025-3-27 02:21
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: FLOAT 時(shí)間: 2025-3-27 08:22
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: hypertension 時(shí)間: 2025-3-27 12:07 作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-27 15:38 作者: 拍翅 時(shí)間: 2025-3-27 17:46
Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K. Ghosh作者: BOAST 時(shí)間: 2025-3-27 22:02 作者: 容易做 時(shí)間: 2025-3-28 04:19
Optical Character Recognition Systems for Different Languages with Soft Computing作者: GNAW 時(shí)間: 2025-3-28 10:02
9樓作者: Ccu106 時(shí)間: 2025-3-28 13:58
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