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2012 International Conference on Frontiers in Handwriting Recognition最新文献

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Analysis of Different Subspace Mixture Models in Handwriting Recognition 手写体识别中不同子空间混合模型分析
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.178
Manjunath Aradhya, S. Niranjan
{"title":"Analysis of Different Subspace Mixture Models in Handwriting Recognition","authors":"Manjunath Aradhya, S. Niranjan","doi":"10.1109/ICFHR.2012.178","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.178","url":null,"abstract":"In this paper we explore, analyze and propose the idea of subspace mixture models such as Principal Component Analysis (PCA), Fisher's Linear Discriminant Analysis (FLD) and Laplacian in handwriting recognition. Statistically, Gaussian Mixture Models (GMMs) are among the most suppurate methods for clustering (though they are also used intensively for density estimation). By modeling each class into a mixture of several components and by performing the classification in the compact and decorrelated feature space it may result in better performance. To do this, each character class is partitioned into several clusters and each cluster density is estimated by a Gaussian distribution function in the PCA, FLD and Laplacian transformed space. The analysis of different mixture models are experimented out on handwritten Kannada characters.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109025","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
Dynamic Programming Matching with Global Features for Online Character Recognition 基于全局特征的动态规划匹配在线字符识别
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.199
M. Mori, S. Uchida, H. Sakano
{"title":"Dynamic Programming Matching with Global Features for Online Character Recognition","authors":"M. Mori, S. Uchida, H. Sakano","doi":"10.1109/ICFHR.2012.199","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.199","url":null,"abstract":"This paper proposes a dynamic programming (DP) matching method with global features for online character recognition. Many online character recognition methods have utilized the ability of DP matching on compensating temporal fluctuation. On the other hand, DP requires the Markovian property on its matching process. Consequently, most traditional DP matching methods have utilized local information of strokes such as xy-coordinates or local directions as features, because it is easy to satisfy the Markovian property with those features. Unfortunately, these local features cannot represent global structure of character shapes. Although global features that extract global structures of characters have high potential to represent various key characteristics of character shapes, conventional DP matching methods cannot handle global features. This is because the incorporation of global features is not straightforward due to the Markovian property of DP. In this paper we propose a new scheme for DP matching using global features. Our method first selects global features which not only satisfy the Markovian property but also have sufficient discrimination ability. By embedding the selected global features into DP matching process, we can compensate temporal fluctuation while considering the global structure of the pattern. Experimental results show that our methods can enhance the recognition accuracy for online numeral characters.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114597447","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: 2
A Component-Based On-Line Handwritten Tibetan Character Recognition Method Using Conditional Random Field 一种基于构件的条件随机场在线手写藏文识别方法
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.153
Long-Long Ma, Jian Wu
{"title":"A Component-Based On-Line Handwritten Tibetan Character Recognition Method Using Conditional Random Field","authors":"Long-Long Ma, Jian Wu","doi":"10.1109/ICFHR.2012.153","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.153","url":null,"abstract":"This paper presents a new component-based recognition method using conditional random field (CRF) for on-line handwritten Tibetan characters. The character pattern is over-segmented into a sequence of sub-structure blocks. Integrated segmentation and recognition method based on the CRF model is used to determine the component segmentation points from these block sequences. The CRF model combines component shape likelihood with geometrical likelihood. The parameters are learned using an energy minimization method. We build a component-based spelling rule model to ensure the correct component appearing at a specific structural position. A character-component generation model is presented to reduce component recognition error rate and accelerate the recognition process. Experimental results on MRG-OHTC database show that the proposed method gives promising performance comparing with the holistic method and the component-based conventional path evaluation method.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116877687","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: 7
On Influence of Line Segmentation in Efficient Word Segmentation in Old Manuscripts 线分割对旧稿高效分词的影响
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.247
David Fernández, J. Lladós, A. Fornés, R. Manmatha
{"title":"On Influence of Line Segmentation in Efficient Word Segmentation in Old Manuscripts","authors":"David Fernández, J. Lladós, A. Fornés, R. Manmatha","doi":"10.1109/ICFHR.2012.247","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.247","url":null,"abstract":"The objective of this work is to show the importance of a good line segmentation to obtain better results in the segmentation of words of historical documents. We have used the approach developed by Manmatha and Rothfeder to segment words in old handwritten documents. In their work the lines of the documents are extracted using projections. In this work, we have developed an approach to segment lines more efficiently. The new line segmentation algorithm tackles with skewed, touching and noisy lines, so it is significantly improves word segmentation. Experiments using Spanish documents from the Marriages Database of the Barcelona Cathedral show that this approach reduces the error rate by more than 20%.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363637","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: 11
The New Method of Identification of Handwriting Using Volumes of Indentations 利用卷缩进识别笔迹的新方法
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.281
Takeshi Furukawa
{"title":"The New Method of Identification of Handwriting Using Volumes of Indentations","authors":"Takeshi Furukawa","doi":"10.1109/ICFHR.2012.281","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.281","url":null,"abstract":"Indicators of handwriting examination in recent forensic science are mainly figures on two dimensional planes. However forgeries of handwriting which are over-written on genuine one while being watched through paper aren't able to distinguish from the genuine one. This article tried to use other indicators with regard to pen-tip forces. Pen-tip forces were measured using a digitizer tablet during drawing four directions short lines. Simultaneously volumes of indentations which were pressed by the pen-tip forces were measured using our proposed method of applying shape from shading. The pen-tip forces and the volumes of the indentations were compared with correlation. The results showed both the indicators had high correlations. In addition the patterns of the volumes of the each direction were different between ten subjects. This provides forensic document examiners with a powerful tool which is applied to identifying writers using volumes of indentations of handwriting which composed of four directions short lines.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125366193","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: 2
QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification QUWI:用于离线写信人识别的阿拉伯语和英语手写数据集
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.256
S. Al-Maadeed, Wael Ayouby, A. Hassaïne, J. Jaam
{"title":"QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification","authors":"S. Al-Maadeed, Wael Ayouby, A. Hassaïne, J. Jaam","doi":"10.1109/ICFHR.2012.256","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.256","url":null,"abstract":"This paper presents a new offline dataset called the Qatar University Writer Identification dataset (QUWI). This dataset contains both Arabic and English handwritings and can be used to evaluate the performance of offline writer identification systems. It consists of handwritten documents of 1017 volunteers of different ages, nationalities, genders and education levels. The writers were asked to copy a specific text and to generate a random text, which allows the dataset to be used for both text-dependent and text-independent writer identification tasks. We describe the gathering and processing steps and define several evaluation tasks regarding the use of this dataset.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744580","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: 102
A Neural Scheme for Procedural Motor Learning of Handwriting 手写体程序性运动学习的神经机制
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.160
R. Senatore, A. Marcelli
{"title":"A Neural Scheme for Procedural Motor Learning of Handwriting","authors":"R. Senatore, A. Marcelli","doi":"10.1109/ICFHR.2012.160","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.160","url":null,"abstract":"Handwriting analysis, which requires the detection and examination of distinctive features within the ink traces representing the words, provides a valuable help in several research's fields. In medical field, handwriting analysis provides an useful complement to other clinical investigations in diagnosing many movement disorders, such as Parkinson's disease. In forensics, the examination of particular characteristics of the ink trace allows the expert to evaluate the authenticity of an handwritten text. Handwriting recognition, which allows to optimize the handling of manuscript documents, requires the detection of distinguishing features for interpreting the characters the ink trace represents. Since any phenomenon can be better understood and analyzed when the generative process is known, investigating the process that underlies handwriting might give some guidelines for handwriting analysis. In this respect, we propose a neural scheme, envisaging that performing complex motor sequences, such as handwriting, requires the interaction among the Cortex, Basal Ganglia and Cerebellum.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130017199","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: 20
ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012) ICFHR 2012自动法证签名验证竞赛(4NsigComp 2012)
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.217
M. Liwicki, M. I. Malik, L. Alewijnse, C. E. V. D. Heuvel, B. Found
{"title":"ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012)","authors":"M. Liwicki, M. I. Malik, L. Alewijnse, C. E. V. D. Heuvel, B. Found","doi":"10.1109/ICFHR.2012.217","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.217","url":null,"abstract":"This paper presents the results of the ICFHR2012 Competition on Automatic Forensic Signature Verification jointly organized by PR-researchers and Forensic Handwriting Examiners (FHEs). The aim is to bridge the gap between recent technological developments and forensic casework. A forensic like training set containing disguised signatures along with skilled forgeries and genuine signatures was provided to the participants. They were motivated to report the results in Likelihood Ratios (LR). This has made the systems even more interesting for application in forensic casework. For evaluation we used both the traditional Equal Error Rate (EER) and forensically substantial Cost of Log Likelihood Ratios (Ĉllr). The system having the best Minimum Cost of Log Likelihood Ratio ( Ĉllrmin) is declared winner. Various experiments both including and excluding disguised signatures from the test set are reported.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117202940","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: 26
Handwritten English Word Recognition Based on Convolutional Neural Networks 基于卷积神经网络的手写英语单词识别
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.210
Aiquan Yuan, G. Bai, Po Yang, Yanni Guo, Xinting Zhao
{"title":"Handwritten English Word Recognition Based on Convolutional Neural Networks","authors":"Aiquan Yuan, G. Bai, Po Yang, Yanni Guo, Xinting Zhao","doi":"10.1109/ICFHR.2012.210","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.210","url":null,"abstract":"This paper presents a novel segmentation-based and lexicon-driven handwritten English recognition systems. For the segmentation, a modified online segmentation method based on rules are applied. Then, convolutional neural networks are introduced for offline character recognition. Experiments are evaluated on UNIPEN lowercase data sets, with the word recognition rate of 92.20%.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127183345","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: 38
New Advancements in Zoning-Based Recognition of Handwritten Characters 基于分区的手写体字符识别新进展
2012 International Conference on Frontiers in Handwriting Recognition Pub Date : 2012-09-18 DOI: 10.1109/ICFHR.2012.241
D. Impedovo, G. Pirlo, R. Modugno
{"title":"New Advancements in Zoning-Based Recognition of Handwritten Characters","authors":"D. Impedovo, G. Pirlo, R. Modugno","doi":"10.1109/ICFHR.2012.241","DOIUrl":"https://doi.org/10.1109/ICFHR.2012.241","url":null,"abstract":"In handwritten character recognition, zoning is one of the most effective approaches for features extraction. When a zoning method is considered, the pattern image is subdivided into zones each one providing regional information related to a specific part of the pattern. The design of a zoning method concerns the definition of zoning topology and membership function. Both aspects have been recently investigated and new solutions have been proposed, able to increase adaptability of the zoning method to different application requirements. In this paper some of the most recent results in the field of zoning method design are presented and some valuable directions of research are highlighted.","PeriodicalId":291062,"journal":{"name":"2012 International Conference on Frontiers in Handwriting Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668645","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: 10
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