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2010 12th International Conference on Frontiers in Handwriting Recognition最新文献

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A New Method for Handwritten Scene Text Detection in Video 一种新的视频手写场景文本检测方法
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.67
P. Shivakumara, Anjan Dutta, U. Pal, C. Tan
{"title":"A New Method for Handwritten Scene Text Detection in Video","authors":"P. Shivakumara, Anjan Dutta, U. Pal, C. Tan","doi":"10.1109/ICFHR.2010.67","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.67","url":null,"abstract":"There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature. In this paper, we present a new method based on maximum color difference and boundary growing method for detection of multi-oriented handwritten scene text in video. The method computes maximum color difference for the average of R, G and B channels of the original frame to enhance the text information. The output of maximum color difference is fed to a K-means algorithm with K=2 to separate text and non-text clusters. Text candidates are obtained by intersecting the text cluster with the Sobel output of the original frame. To tackle the fundamental problem of different orientations and skews of handwritten text, boundary growing method based on a nearest neighbor concept is employed. We evaluate the proposed method by testing on our own handwritten text database and publicly available video data (Hua’s data). Experimental results obtained from the proposed method are promising.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137697","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: 14
A Symbol-Dependent Writer Identification Approach in Old Handwritten Music Scores 古代手写体乐谱中符号依赖的作者识别方法
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.104
A. Fornés, J. Lladós
{"title":"A Symbol-Dependent Writer Identification Approach in Old Handwritten Music Scores","authors":"A. Fornés, J. Lladós","doi":"10.1109/ICFHR.2010.104","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.104","url":null,"abstract":"Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we introduce a symbol-dependent approach for identifying the writer of old music scores, which is based on two symbol recognition methods. The main idea is to use the Blurred Shape Model descriptor and a DTW-based method for detecting, recognizing and describing the music clefs and notes. The proposed approach has been evaluated in a database of old music scores, achieving very high writer identification rates.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115665484","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: 13
Path Evaluation and Character Classifier Training on Integrated Segmentation and Recognition of Online Handwritten Japanese Character String 在线手写体日语字符串综合分割识别的路径评价与字符分类器训练
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.85
Yojiro Tonouchi
{"title":"Path Evaluation and Character Classifier Training on Integrated Segmentation and Recognition of Online Handwritten Japanese Character String","authors":"Yojiro Tonouchi","doi":"10.1109/ICFHR.2010.85","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.85","url":null,"abstract":"This paper describes a method of online handwritten Japanese character string recognition by improved path evaluation and character classifier training. The path evaluation is insensitive to the segmentation length and the optimal path can be found by dynamic programming (DP). The character classifier training improves resistance to non-character patterns, which is a problem on integrated segmentation and recognition of handwritten character strings. Experimental results show that the path evaluation and the character classifier training improve the performance of string recognition.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128029852","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: 9
Optimizing the Number of States for HMM-Based On-line Handwritten Whiteboard Recognition 基于hmm的在线手写白板识别状态数优化
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.23
Jürgen T. Geiger, J. Schenk, F. Wallhoff, G. Rigoll
{"title":"Optimizing the Number of States for HMM-Based On-line Handwritten Whiteboard Recognition","authors":"Jürgen T. Geiger, J. Schenk, F. Wallhoff, G. Rigoll","doi":"10.1109/ICFHR.2010.23","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.23","url":null,"abstract":"In this paper, we present a novel way to determine the number of states in Hidden-Markov-Models for on-line handwriting recognition. This method extends the Bakis length modeling method which has succesfully been applied to off-line handwriting recognition. We propose a modification to the Bakis method and present a technique to improve the topology with a small number of iterations. Furthermore, we investigate the influence of state tying. In an experimental section, we show that our improved system outperforms a system with Bakis length modeling by 1.5 % relative and with fixed length modeling by 5.1 % relative on the IAM-On-DB-t1 benchmark.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278406","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: 19
Ancient Handwritings Decomposition Into Graphemes and Codebook Generation Based on Graph Coloring 基于图着色的古代手写体字素分解与码本生成
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.25
Hani Daher, Djamel Gaceb, V. Eglin, S. Bres, N. Vincent
{"title":"Ancient Handwritings Decomposition Into Graphemes and Codebook Generation Based on Graph Coloring","authors":"Hani Daher, Djamel Gaceb, V. Eglin, S. Bres, N. Vincent","doi":"10.1109/ICFHR.2010.25","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.25","url":null,"abstract":"We present in this paper a new method of analysis and decomposition of handwritten documents into glyphs (graphemes) and their associated code book. The different techniques that are involved in this paper are inspired by image processing methods in a large sense and mathematical models implying graph coloring. Our approaches provide firstly a rapid and detailed characterization of handwritten shapes based on dynamic tracking of the handwriting (curvature, thickness, direction, etc.) and also a very efficient analysis method for the categorization of basic shapes (graphemes). The tools that we have produced enable paleographers to study quickly and more accurately a large volume of manuscripts and to extract a large number of characteristics that are specific to individual writer or specific era.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131917578","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: 9
Handwriting Reconstruction for a Camera Pen Using Random Dot Patterns 使用随机点模式的相机笔笔迹重建
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.32
Matthias Sperber, Martin Klinkigt, K. Kise, M. Iwamura, Benjamin Adrian, A. Dengel
{"title":"Handwriting Reconstruction for a Camera Pen Using Random Dot Patterns","authors":"Matthias Sperber, Martin Klinkigt, K. Kise, M. Iwamura, Benjamin Adrian, A. Dengel","doi":"10.1109/ICFHR.2010.32","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.32","url":null,"abstract":"This paper proposes a new method of handwriting reconstruction using a camera pen. We print random dot patterns on the document background to enable retrieval of both the current document and the pen position on this document. Dot arrangements are stored in a hash table using Locally Likely Arrangement Hashing. For retrieval, they are extracted from the camera image and matched to the corresponding points in the hash table. We were able to achieve high retrieval accuracy (81.1~100.0%), given a sufficient amount of visible dots. Using a two-step homography approximation, an accurate image of handwriting can be reconstructed. By using knowledge about document context and a client-server architecture, our method allows real-time processing on ordinary hardware.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116605612","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: 5
A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition 基于医学知识的医生手写识别后处理方法
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.121
Qi Chen, Tianxia Gong, Linlin Li, C. Tan, B. Pang
{"title":"A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition","authors":"Qi Chen, Tianxia Gong, Linlin Li, C. Tan, B. Pang","doi":"10.1109/ICFHR.2010.121","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.121","url":null,"abstract":"In this paper, we propose a novel post processing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domain specific knowledge to improve the performance of recognition. Our system recognizes doctor’s handwriting which often poses great challenges in readability, and then enhances the quality of recognized text by analyzing and restoring the text with a medical knowledge model. We show experiments with this approach on a set of medical handwriting data provided by the doctor, and the results are promising.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123122217","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: 5
On-line Handwriting Recognition of Indian Scripts - The First Benchmark 印度文字的在线手写识别-第一个基准
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.39
T. Mondal, U. Bhattacharya, S. K. Parui, K. Das, Dinesh Mandalapu
{"title":"On-line Handwriting Recognition of Indian Scripts - The First Benchmark","authors":"T. Mondal, U. Bhattacharya, S. K. Parui, K. Das, Dinesh Mandalapu","doi":"10.1109/ICFHR.2010.39","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.39","url":null,"abstract":"Online handwriting recognition of Indian scripts has been drawing increasing attention in recent years. Related research has gained further momentum due to recent planned funding by the Govt. of India towards technology development of Indian languages and scripts. Standard databases of handwritten characters of a few Indian scripts have already become available. These include online handwritten character databases of Bangla, Devanagari, Tamil and Telugu and these are available free of cost on request. In the present paper, we present benchmark recognition results of the above databases of four most popular scripts of the Indian subcontinent based on two existing feature extraction methods viz. point-float and direction code histogram features and three classifiers viz. Nearest Neighbour (NN), Multilayer Perceptron (MLP) and Hidden Markov Model (HMM) to test the effectiveness of the existing classification methods and provide benchmark results for future online handwriting recognition research of these Indic scripts.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130904090","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: 54
The 4NSigComp2010 Off-line Signature Verification Competition: Scenario 2 4NSigComp2010离线签名验证大赛:场景2
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.117
M. Blumenstein, M. A. Ferrer-Ballester, J. Vargas-Bonilla
{"title":"The 4NSigComp2010 Off-line Signature Verification Competition: Scenario 2","authors":"M. Blumenstein, M. A. Ferrer-Ballester, J. Vargas-Bonilla","doi":"10.1109/ICFHR.2010.117","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.117","url":null,"abstract":"The objective of this competition (4NSigComp2010) is to ascertain the performance of automatic off-line signature verifiers to evaluate recent technology developments in the areas of document analysis and machine learning. The current paper focuses on the second scenario, which aims at performance evaluation of off-line signature verification systems on a newly-created large dataset that comprises genuine, simulated signatures produced by unskilled imitators or random signatures (genuine signatures from other writers). Ten systems were evaluated, and some interesting results are presented in terms of accuracy and execution time. The top ranking system attained an overall error of 8.94%. This result interestingly correlates with the top ranking accuracy achieved in a previous signature verification competition at ICDAR 2009.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134312943","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: 31
Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition 在线手写体日文字符识别中混淆字符识别减少错误
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.79
Xiang-Dong Zhou, Da-Han Wang, M. Nakagawa, Cheng-Lin Liu
{"title":"Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition","authors":"Xiang-Dong Zhou, Da-Han Wang, M. Nakagawa, Cheng-Lin Liu","doi":"10.1109/ICFHR.2010.79","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.79","url":null,"abstract":"To reduce the classification errors of online handwritten Japanese character recognition, we propose a method for confusing characters discrimination with little additional costs. After building confusing sets by cross validation using a baseline quadratic classifier, a logistic regression (LR) classifier is trained to discriminate the characters in each set. The LR classifier uses subspace features selected from existing vectors of the baseline classifier, thus has no extra parameters except the weights, which consumes a small storage space compared to the baseline classifier. In experiments on the TUAT HANDS databases with the modified quadratic discriminant function (MQDF) as baseline classifier, the proposed method has largely reduced the confusion caused by non-Kanji characters.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305044","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: 5
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