標題: Titlebook: Document Analysis Systems V; 5th International Wo Daniel Lopresti,Jianying Hu,Ramanujan Kashi Conference proceedings 2002 Springer-Verlag G [打印本頁] 作者: 夸大 時間: 2025-3-21 16:49
書目名稱Document Analysis Systems V影響因子(影響力)
書目名稱Document Analysis Systems V影響因子(影響力)學科排名
書目名稱Document Analysis Systems V網(wǎng)絡(luò)公開度
書目名稱Document Analysis Systems V網(wǎng)絡(luò)公開度學科排名
書目名稱Document Analysis Systems V被引頻次
書目名稱Document Analysis Systems V被引頻次學科排名
書目名稱Document Analysis Systems V年度引用
書目名稱Document Analysis Systems V年度引用學科排名
書目名稱Document Analysis Systems V讀者反饋
書目名稱Document Analysis Systems V讀者反饋學科排名
作者: 假 時間: 2025-3-21 23:18
Script Identification in Printed Bilingual Documentscter recognition. Techniques for script identification generally require large areas for operation so that sufficient information is available. Suchassumption is nullified in Indian context, as there is an interspersion of words of two different scripts in most documents. In this paper, techniques t作者: 同來核對 時間: 2025-3-22 01:57 作者: Hyperplasia 時間: 2025-3-22 05:15 作者: 薄膜 時間: 2025-3-22 10:06 作者: 權(quán)宜之計 時間: 2025-3-22 14:01 作者: 權(quán)宜之計 時間: 2025-3-22 17:47
Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Imagesayout. This means searching and employing contextual information as a pointer to a search region on the image. However human handwriting, as well as machine printed characters, are not dependent on the document in which they are inserted. Components of handwritten and machine printed behavior can be作者: mortuary 時間: 2025-3-23 00:13
Multi-expert Seal Imprint Verification System for Bankcheck Processingy of seal imprint quality. To conquer this problem, we propose a multi-expert seal imprint verification system, which combines two different verification algorithms. The first verification algorithm is based on a method using local and global features of seal imprint. The second one uses a special c作者: 織物 時間: 2025-3-23 02:00
Automatic Reading of Traffic Ticketstabase of registered cars for further processing. Each extracted information consists either of handwritten isolated Arabic digits or tick mark “x”. The ticket form is designed in such a way to facilitate the extraction process. For each input, the output of the recognition module is a probabilistic作者: 放逐 時間: 2025-3-23 06:56 作者: 軟膏 時間: 2025-3-23 11:57 作者: 亂砍 時間: 2025-3-23 16:30
The Segmentation and Identification of Handwriting in Noisy Document Imagesocuments such as correspondence, it is not uncommon for handwritten annotations to be added as part of a note, correction, clarification, or instruction, or a signature to appear as an authentication mark. It is important to be able to segment and identify such handwriting so we can 1) locate, inter作者: 受傷 時間: 2025-3-23 18:19
The Impact of Large Training Sets on the Recognition Rate of Off-line Japanese Kanji Character Classracter pattern databases prevents us from verifying this assumption empirically for large data sets. Whereas the typical number of training samples has usually been between 100-200 patterns per category until now, newly collected databases and increased computing power allows us to experiment with a作者: GRATE 時間: 2025-3-23 22:12
Automatic Completion of Korean Words for Open Vocabulary Pen Interfacecandidates from a given prefix. In experiments, several different models for Korean words were tested for prediction performance. The results show that the best model can reduce the number of writing characters about 38% with 5 candidates.作者: 極力證明 時間: 2025-3-24 04:11 作者: neologism 時間: 2025-3-24 10:34 作者: 胖人手藝好 時間: 2025-3-24 12:54
A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors condition present in a text. In this method, the characteristics of character pattern deformations are expressed as a statistic of a difference distribution, and information represented by the difference distribution is integrated into the pseudo Bayes discriminant function. The formulation of inte作者: vascular 時間: 2025-3-24 15:24
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysisssifiers only if they strongly complement each other. In this paper a complementarity-based analysis of sets of classifier is proposed for investigating the behaviour of multi-classifier systems, as new classifiers are added to the set. The experimental results confirm the theoretical evidence and a作者: Prosaic 時間: 2025-3-24 21:34 作者: 參考書目 時間: 2025-3-25 01:56 作者: opalescence 時間: 2025-3-25 04:29 作者: blister 時間: 2025-3-25 07:44 作者: 性學院 時間: 2025-3-25 12:42
Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japaneseency based on a stroke number is different for a common on-line and offline recognizer. Later, we demonstrate on elementary combination rules, such as sum-rule and max-rule that using this information increases a recognition rate.作者: Consequence 時間: 2025-3-25 16:22 作者: 去世 時間: 2025-3-25 20:32
Transition in the Baltic Statesnges in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.作者: 希望 時間: 2025-3-26 02:59
https://doi.org/10.1007/978-1-4419-6238-6in India, especially in the post and telegraph department where OCR can assist the staff in sorting mail. Character recognition can also form a part in applications like intelligent scanning machines, text to speech converters, and automatic language-to-language translators.作者: obstruct 時間: 2025-3-26 04:42
Miguel á. Tinoco,Francisco Venegas Martínezorrelation method based on a global approach. The two algorithms are combined by a voting strategy. Experimental results showed that the combination of the two algorithms improves significantly the verification performance both on “false-acceptance error rate” and “false-rejection error rate”.作者: 教育學 時間: 2025-3-26 09:20
Transition, Turbulence and Combustion much higher number of samples per category. In this paper, we experiment with off-line classifiers trained with up to 1550 patterns for 3036 categories respectively. We show that this bigger training set size indeed leads to improved recognition rates compared to the smaller training sets normally used.作者: Sleep-Paralysis 時間: 2025-3-26 15:29 作者: 出價 時間: 2025-3-26 20:43 作者: folliculitis 時間: 2025-3-26 22:15 作者: deficiency 時間: 2025-3-27 02:15 作者: exceptional 時間: 2025-3-27 09:12 作者: 緯度 時間: 2025-3-27 10:54
Automatic Reading of Traffic Ticketsm requests assistance from the user to identify the input pattern. This feature is necessary in order to avoid feeding in wrong information to the database, such as associating the traffic ticket with the wrong registered car.作者: affect 時間: 2025-3-27 15:47
A Stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwusly defined and the algorithms for its training and decoding are presented. This framework has been applied to off-line handwritten word recognition using high-level structural features and proves its effectiveness in experiments.作者: 鞠躬 時間: 2025-3-27 20:31 作者: Pseudoephedrine 時間: 2025-3-27 23:52 作者: 他一致 時間: 2025-3-28 06:07 作者: paltry 時間: 2025-3-28 06:45 作者: 媽媽不開心 時間: 2025-3-28 12:41 作者: Harness 時間: 2025-3-28 17:23
F. Q. Hu,S. R. Otto,T. L. Jacksonency based on a stroke number is different for a common on-line and offline recognizer. Later, we demonstrate on elementary combination rules, such as sum-rule and max-rule that using this information increases a recognition rate.作者: Brain-Imaging 時間: 2025-3-28 19:16 作者: Defense 時間: 2025-3-29 00:10
Latvia’s Emerging Capital Marketsuped symbols and a linear transformation is performed on them for the purpose of efficient representation in the feature space. The transformation is obtained bythe maximization of certain criterion functions. Three techniques : Principal component analysis, maximization of Fisher’s ratio and maximi作者: 小蟲 時間: 2025-3-29 03:50
Transition to Adulthood: Introduction,recognition rate from 93% to 98%. Apart from the . pattern classification technique of nearest neighbour, Artificial Neural Network (ANN) based classifiers like Back Propogation and Radial Basis Function (RBF) Networks have also been studied. The ANN classifiers are trained in supervised mode using 作者: 運動的我 時間: 2025-3-29 07:21
https://doi.org/10.1007/978-3-658-25237-3ut only part images extracted by segmentation, and the non-holistic method can’t eliminate the blackpixels intruding in the recognition window from neighboring characters. In the proposed method, we can expect that no such errors will accumulate. Results show that a recognition rate of 99.8% was obt作者: 返老還童 時間: 2025-3-29 14:33 作者: 獨特性 時間: 2025-3-29 19:13
https://doi.org/10.1007/978-3-030-62113-1ni.cant loss. They are comparable under the first scenario (specialization), but adaptation is better under the second (new style). Adaptation is bene.cial when the test is large enough (even if only ten samples of each class by one writer in a 100- dimensional feature space), but style conscious cl作者: Detonate 時間: 2025-3-29 20:11 作者: 階層 時間: 2025-3-30 01:12
Machine Recognition of Printed Kannada Textrecognition rate from 93% to 98%. Apart from the . pattern classification technique of nearest neighbour, Artificial Neural Network (ANN) based classifiers like Back Propogation and Radial Basis Function (RBF) Networks have also been studied. The ANN classifiers are trained in supervised mode using 作者: semble 時間: 2025-3-30 04:11 作者: 天真 時間: 2025-3-30 11:09
The Segmentation and Identification of Handwriting in Noisy Document Imagesere classification can be reliably performed, we conducted experiments at the character, word and zone level. We found that the reliable results can be achieved at the word level with a classification accuracy of 97.3%. The identified handwritten text is further grouped into zones and verified to re作者: 慢慢流出 時間: 2025-3-30 14:46 作者: Freeze 時間: 2025-3-30 17:17 作者: Intractable 時間: 2025-3-30 22:28 作者: Incumbent 時間: 2025-3-31 02:31
Nicholas D. Blackaby,Meelan Choudharicandidates from a given prefix. In experiments, several different models for Korean words were tested for prediction performance. The results show that the best model can reduce the number of writing characters about 38% with 5 candidates.作者: Celiac-Plexus 時間: 2025-3-31 08:53 作者: 古老 時間: 2025-3-31 13:07
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/282300.jpg作者: achlorhydria 時間: 2025-3-31 16:14 作者: propose 時間: 2025-3-31 20:36 作者: 招致 時間: 2025-4-1 00:59 作者: organism 時間: 2025-4-1 04:55 作者: 山崩 時間: 2025-4-1 08:01 作者: 變量 時間: 2025-4-1 11:27 作者: DIS 時間: 2025-4-1 14:50 作者: Allowance 時間: 2025-4-1 21:17 作者: 放逐某人 時間: 2025-4-2 02:28
https://doi.org/10.1007/978-1-4419-6238-6last few decades. Recognition of Indian language characters has been a topic of interest for quite some time. The earlier contributions were reported in [.] and [.]. A more recent work is reported in [.] and [.]. The need for efficient and robust algorithms and systems for recognition is being felt 作者: enterprise 時間: 2025-4-2 06:04
https://doi.org/10.1007/978-1-4419-6238-6ayout. This means searching and employing contextual information as a pointer to a search region on the image. However human handwriting, as well as machine printed characters, are not dependent on the document in which they are inserted. Components of handwritten and machine printed behavior can be
