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2009 10th International Conference on Document Analysis and Recognition最新文献

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A Modified Adaptive Logical Level Binarization Technique for Historical Document Images 一种改进的历史文献图像自适应逻辑层次二值化技术
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.225
K. Ntirogiannis, B. Gatos, I. Pratikakis
{"title":"A Modified Adaptive Logical Level Binarization Technique for Historical Document Images","authors":"K. Ntirogiannis, B. Gatos, I. Pratikakis","doi":"10.1109/ICDAR.2009.225","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.225","url":null,"abstract":"In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT depends on fixed windows to extract essential features such as the character stroke width. Since characters with several different stroke widths may exist within a region, this can lead to erroneous results. In our approach, we use local adaptive binarization as a guide to our adaptive stroke width detection. The skeleton and the contour points of the binarization output are combined to identify locally the stroke width. Additionally, we introduce an adaptive local parameter “β” that enhances the characters and improves the overall performance. In this way, we achieve more accurate binarization results in both handwritten and printed documents with a particular focus on degraded historical documents. Experimental results prove the effectiveness of the proposed technique compared to other state-of-the-art methodologies.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114753729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Document Images Restoration by a New Tensor Based Diffusion Process: Application to the Recognition of Old Printed Documents 基于扩散张量的文档图像恢复:在旧打印文档识别中的应用
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.109
Fadoua Drira, Frank Lebourgeois, H. Emptoz
{"title":"Document Images Restoration by a New Tensor Based Diffusion Process: Application to the Recognition of Old Printed Documents","authors":"Fadoua Drira, Frank Lebourgeois, H. Emptoz","doi":"10.1109/ICDAR.2009.109","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.109","url":null,"abstract":"A modification of the Weickert coherence enhancing diffusion filter is proposed for which new constraints formulated form the Perona-Malik equation are added. The new diffusion filter, driven by local tensors fields, takes benefit from both of these approaches and avoids problems known to affect them. This filter reinforces character discontinuity and eliminates the inherent problem of corner rounding while smoothing. Experiments conducted on degraded document images illustrate the effectiveness of the proposed method compared to another anisotropic diffusion approaches. A visual quality improvement is thus achieved on these images. Such improvement leads to a noticeable improvement of the OCR system's accuracy proven through the comparison of OCR recognition rates before and after the diffusion process.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114938517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 28
Classifying Foreground Pixels in Document Images 分类前景像素在文档图像
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.252
Prateek Sarkar, E. Saund, Jing Lin
{"title":"Classifying Foreground Pixels in Document Images","authors":"Prateek Sarkar, E. Saund, Jing Lin","doi":"10.1109/ICDAR.2009.252","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.252","url":null,"abstract":"We present a system that classifies pixels in a document image according to marking type such as machine print,handwriting, and noise. A segmenter module first splits an input image into fragments, sometimes breaking connected components. Each fragment is then classified by an automatically trained multi-stage classifier that is fast and considers features of the fragment, as well as its neighborhood.Features relevant for discrimination are picked out automatically from among hundreds of measurements. Our system is trainable from example images in which each foreground pixel has a “ground-truth” label. The main distinction of our system is the level of accuracy achieved in classifying fragments at sub-connected component level, rather than larger aggregate groups such as words or text-lines.We have trained this system to detect handwriting, machine print text, machine print graphics, and noise.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Document Image Retrieval with Local Feature Sequences 基于局部特征序列的文档图像检索
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.46
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
{"title":"Document Image Retrieval with Local Feature Sequences","authors":"Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le","doi":"10.1109/ICDAR.2009.46","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.46","url":null,"abstract":"In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout structure. This paper presents a fast, accurate and OCR-free image retrieval algorithm using local feature sequences which can describe the intrinsic, unique and page-layout-free characteristics of document images. With a simple preprocessing step, the local feature sequences can be extracted without print-core detection and image registration. Then an efficient coarse-to-fine common substring matching strategy is applied to do local feature sequences matching. Beyond a single matching score, this approach can locate the matched parts word by word. It well handles the challenges including low resolution, different language, rotation and incompleteness and N-up. The encouraging experiment results on a large scale document image database show the retrieval outputs are sufficient good to be used directly as document image identification results.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 27
A Robust Wavelet Transform Based Technique for Video Text Detection 基于小波变换的鲁棒视频文本检测技术
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.83
P. Shivakumara, T. Phan, C. Tan
{"title":"A Robust Wavelet Transform Based Technique for Video Text Detection","authors":"P. Shivakumara, T. Phan, C. Tan","doi":"10.1109/ICDAR.2009.83","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.83","url":null,"abstract":"In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method uses wavelet single level decomposition LH, HL and HH subbands for computing features and the computed features are fed to k means clustering to classify the text pixel from the background of the image. The average of wavelet subbands and the output of k means clustering helps in classifying true text pixel in the image. The text blocks are detected based on analysis of projection profiles. Finally, we introduce a few heuristics to eliminate false positives from the image. The robustness of the proposed method is tested by conducting experiments on a variety of images of low contrast, complex background, different fonts, and size of text in the image. The experimental results show that the proposed method outperforms the existing methods in terms of detection rate, false positive rate and misdetection rate.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125823114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 66
Detection of Incoherences in a Document Corpus Based on the Application of a Neuro-Fuzzy System 基于神经模糊系统的文档语料库不连贯检测
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.101
Susana Martín-Toral, Víctor Arribas, G. Palmero
{"title":"Detection of Incoherences in a Document Corpus Based on the Application of a Neuro-Fuzzy System","authors":"Susana Martín-Toral, Víctor Arribas, G. Palmero","doi":"10.1109/ICDAR.2009.101","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.101","url":null,"abstract":"The aim of this paper is to detect incoherences in concepts, ideas, values, and others contained in technical document corpora. The way in which document collections are generated, modified or updated generates problems and mistakes in the information coherency, leading to legal, economic and social problems. A solution based on summarization, matching and neuro-fuzzy systems is proposed to dealt with this problem. For this goal, every document (from the electric domain) is summarized by its relevant information in the form of 4-tuples of terms, describing the most relevant ideas and concepts that must be free of incoherences. These representations are then matched using several well-known algorithms (Levenshtein distance and cosine similarity). The final decision about the real existence or not of an incoherence, and its relevancy, is obtained by training a neuro-fuzzy system FasArt in a supervised classification process, based on the previous knowledge of the activity area and domain experts. On the other hand, using this fuzzy approach, it is possible to extract the learnt and expert knowledge from the the neuro-fuzzy system, through a set of fuzzy rules that can support a decision taking system about this complex and non objective problem.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124680043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Results of the RIMES Evaluation Campaign for Handwritten Mail Processing 手写邮件处理RIMES评估活动的结果
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.224
E. Grosicki, Matthieu Carré, J. Brodin, E. Geoffrois
{"title":"Results of the RIMES Evaluation Campaign for Handwritten Mail Processing","authors":"E. Grosicki, Matthieu Carré, J. Brodin, E. Geoffrois","doi":"10.1109/ICDAR.2009.224","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.224","url":null,"abstract":"This paper presents the results of the second test phase of the RIMES evaluation campaign. The latter is the first large-scale evaluation campaign intended to all the key players of the handwritten recognition and document analysis communities. It proposes various tasks around recognition and indexing of handwritten letters such as those sent by postal mail or fax by individuals to companies or administrations. In this second evaluation test, automatic systems have been evaluated on three themes: layout analysis, handwriting recognition and writer identification. The databases used are part of the RIMES database of 5605 real mails completely annotated as well as secondary databases of isolated characters and handwritten words (250,000 snippets). The paper reports on protocols and gives the results obtained in the campaign.(RIMES : Reconnaissance et Indexation de données Manuscrites et de fac similÉS / Recognition and Indexing of handwritten documents and faxes)","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129403254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 78
Text-Tracking Wearable Camera System for the Blind 盲人文本跟踪可穿戴相机系统
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.102
Hideaki Goto, Makoto Tanaka
{"title":"Text-Tracking Wearable Camera System for the Blind","authors":"Hideaki Goto, Makoto Tanaka","doi":"10.1109/ICDAR.2009.102","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.102","url":null,"abstract":"Disability of visual text reading has a huge impact on the quality of life for visually disabled people.One of the most anticipated devices is a wearable camera capable of finding text regions in natural scenes and translating the text into another representation such as speech or braille.In order to develop such a device,text tracking in video sequences is required as well as text detection.The device needs to group homogeneous text regions to avoid multiple and redundant speech syntheses or braille conversions.An automatic text image selection is also required for better character recognition and timely text message presentation.We have developed a prototype system equipped with a head-mounted video camera.Particle filter is employed for fast and robust text tracking.We have tested the performance of our system using 1,730 video frames of hall ways with 27 signboards.The number of text candidate regions is reduced to 1.47%.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 46
Information Extraction from Multimodal ECG Documents 多模态心电信息提取
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.189
Fei Wang, T. Syeda-Mahmood, D. Beymer
{"title":"Information Extraction from Multimodal ECG Documents","authors":"Fei Wang, T. Syeda-Mahmood, D. Beymer","doi":"10.1109/ICDAR.2009.189","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.189","url":null,"abstract":"With the rise of tools for clinical decision support,there is an increased need for automatic processing of electrocardiograms (ECG) documents. In fact, many systems have already been developed to perform signal processing tasks such as 12-lead off-line ECG analysis and real-time patient monitoring. All these applications require an accurate detection of the heart rate of the ECG. In this paper, we present the idea that the image form of ECG is actually a better medium to detect periodicity in ECG. When the ECG trace is scanned or rendered in videos, the peaks of the waveform (R-wave) is often traced thicker due to pixel dithering. We exploit the pixel thickness information, for the first time, as a reliable feature for determining periodicity. Results are presented on a database of 16,613 12-channel ECG waveforms, which demonstrate robustness and accuracy of our image-based period detection method on these ECGs of various cardiovascular diseases. 94.5% of bradycardia and tachycardia patient records are correctly identified using our estimated heart period as the disease criteria.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128474103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting 基于识别的在线阿拉伯笔迹分割算法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.169
Khaled Daifallah, N. Zarka, H. Jamous
{"title":"Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting","authors":"Khaled Daifallah, N. Zarka, H. Jamous","doi":"10.1109/ICDAR.2009.169","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.169","url":null,"abstract":"In this paper, we introduce an on-line Arabic handwritten recognition system based on new stroke segmentation algorithm. The proposed algorithm uses an over segmentation method that has the advantage of giving all correct segments at least. It is based on arbitrary segmentation followed by segmentation enhancement, consecutive joints connection and finally segmentation point locating. The proposed system gives an excellent recognition rate up to 97% and 92% for words and letter recognition.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 51
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