发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Artificial Classifier Generation for Multi-expert System Evaluation 多专家系统评价的人工分类器生成
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.72
D. Impedovo, G. Pirlo, L. Sarcinella, E. Stasolla
{"title":"Artificial Classifier Generation for Multi-expert System Evaluation","authors":"D. Impedovo, G. Pirlo, L. Sarcinella, E. Stasolla","doi":"10.1109/ICFHR.2010.72","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.72","url":null,"abstract":"The evaluation of combination methods for multi-classifier systems is a difficult problem. In many cases multi-classifier combination methods are too complex to be formally studied and the experimental approach is the unique possible strategy. Of course, in order to simulate a multitude of real working conditions, sets of artificial classifiers with diverse characteristics must be generated. This paper presents an effective technique for generating sets of artificial classifiers with different characteristics both at the individual-level (i.e. recognition performance) and at the collective-level (i.e. degree of similarity). In the experimental tests, sets of artificial classifiers simulating different working conditions are generated and the performances of abstract-level combination methods are estimated. The results points out the effectiveness of the new technique for generating sets of artificial classifiers with different characteristics and their usefulness in estimating the performances of combination methods.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"43 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":"121184082","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
Writer Identification for Handwritten Telugu Documents Using Directional Morphological Features 使用方向形态特征的泰卢固语手写体文件的作者识别
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.108
Pulak Purkait, R. Kumar, B. Chanda
{"title":"Writer Identification for Handwritten Telugu Documents Using Directional Morphological Features","authors":"Pulak Purkait, R. Kumar, B. Chanda","doi":"10.1109/ICFHR.2010.108","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.108","url":null,"abstract":"Linking a person based on handwritten documents is one of the oldest techniques that is used by crime investigators and forensic scientists. The importance of writer recognition in anthrax letter cases has made this examination popular in recent years. In this paper we propose four feature set namely directional opening, directional closing, direction erosion and k-curvature features for writer recognition on Telugu handwritten documents. Each of the features is extracted from the words after dividing them into a number of cells and then subjected to a nearest neighbor classifier for writer recognition. Although the results of each of the feature set is quite encouraging, the directional opening feature outperforms other feature sets.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"65 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":"121415164","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
A Comparative Evaluation of Finger-Drawn Graphical Password Verification Methods 手指绘制图形密码验证方法的比较评价
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.65
M. Martinez-Diaz, C. Martin-Diaz, Javier Galbally, Julian Fierrez
{"title":"A Comparative Evaluation of Finger-Drawn Graphical Password Verification Methods","authors":"M. Martinez-Diaz, C. Martin-Diaz, Javier Galbally, Julian Fierrez","doi":"10.1109/ICFHR.2010.65","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.65","url":null,"abstract":"Doodle-based graphical passwords represent a challenging scenario due to their high variability and the tendency to be graphically simple. Despite this, doodle-based authentication using touch screens is a promising lightweight user verification method. Several works have been published in this field, although they report in general experimental verification results over small and private databases. In this paper we analyze the performance of several state-of-the-art systems for doodle verification, using the recently acquired DooDB database, which is publicly available. Several algorithms are tested, from the fields of gesture recognition and doodle and signature verification. A comparative study of their performance is done, and future research directions are pointed out.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"75 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":"127078673","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
Spatial Similarity Based Stroke Number and Order Free Clustering 基于空间相似性的笔划数和无序聚类
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.107
K. Santosh, C. Nattee, B. Lamiroy
{"title":"Spatial Similarity Based Stroke Number and Order Free Clustering","authors":"K. Santosh, C. Nattee, B. Lamiroy","doi":"10.1109/ICFHR.2010.107","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.107","url":null,"abstract":"In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any number and order, writer independently. Learnt strokes are hierarchically agglomerated via Dynamic Time Warping based on their location and their number and stored accordingly. We experimentally validate our concept by showing its ability to improve recognition performance on previously published results.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"152 4 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":"133489447","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: 17
Tracking and Retrieval of Pen Tip Positions for an Intelligent Camera Pen 智能摄像笔笔尖位置的跟踪与检索
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.50
K. Iwata, K. Kise, M. Iwamura, S. Uchida, S. Omachi
{"title":"Tracking and Retrieval of Pen Tip Positions for an Intelligent Camera Pen","authors":"K. Iwata, K. Kise, M. Iwamura, S. Uchida, S. Omachi","doi":"10.1109/ICFHR.2010.50","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.50","url":null,"abstract":"This paper presents a method of recovering digital ink for an intelligent camera pen, which is characterized by the functions that (1) it works on ordinary paper and (2) if an electronic document is printed on the paper the recovered digital ink is associated with the document. Two technologies called paper fingerprint and document image retrieval are integrated for realizing the above functions. The key of the integration is the introduction of image mosaicing and fast retrieval of previously seen fingerprints based on hashing of SURF local features. From the experimental results of 50 handwritings, we have confirmed that the proposed method is effective to recover and locate the digital ink from the handwriting on a physical paper.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"16 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":"131402987","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
Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents 集成几何上下文的中文手写体文本对齐
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.9
Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu
{"title":"Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents","authors":"Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu","doi":"10.1109/ICFHR.2010.9","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.9","url":null,"abstract":"The alignment of text line images with text transcript is a crucial step of handwritten document annotation. Handwritten text alignment is prone to errors due to the difficulty of character segmentation and the variability of character shape, size and position. In this paper, we propose to incorporate the geometric context of character strings to improve the alignment accuracy for offline handwritten Chinese documents. We use four statistical models to evaluate the geometric features of single characters and between-character relationships. By combining the geometric models with a character recognizer, we have achieved a large improvement of alignment accuracy in our experiments on unconstrained handwritten Chinese text lines.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"78 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":"134202388","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: 18
Zoning Methods for Hand-Written Character Recognition: An Overview 手写体字符识别分区方法综述
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.57
S. Impedovo, G. Pirlo, R. Modugno, A. Ferrante
{"title":"Zoning Methods for Hand-Written Character Recognition: An Overview","authors":"S. Impedovo, G. Pirlo, R. Modugno, A. Ferrante","doi":"10.1109/ICFHR.2010.57","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.57","url":null,"abstract":"Zoning is a widespread technique for hand-written character recognition. 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. This paper presents an overview of zoning methods. Through the paper, both static and dynamic zonings are addressed and the most recent approaches for zoning design are discussed, based on genetic algorithms and well-suited zoning representation techniques. Finally, the role of membership functions in zoning-based classification is focused, according to abstract-level, ranked-level and measurement-level weighting models.","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":"123894820","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: 29
Handwritten Word Verification by SVM-Based Hypotheses Re-scoring and Multiple Thresholds Rejection 基于支持向量机的假设重评分和多阈值拒绝手写单词验证
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.15
Laurent Guichard, A. Toselli, Bertrand Coüasnon
{"title":"Handwritten Word Verification by SVM-Based Hypotheses Re-scoring and Multiple Thresholds Rejection","authors":"Laurent Guichard, A. Toselli, Bertrand Coüasnon","doi":"10.1109/ICFHR.2010.15","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.15","url":null,"abstract":"In the field of isolated handwritten word recognition, the development of verification systems that optimize the trade-off between performance and reliability is still an active research topic. To minimize the recognition errors, usually, a verification system is used to accept or reject the hypotheses output by an existing recognition system. In this paper, a novel verification architecture is presented. In essence, the recognition hypotheses, re-scored by a set of the support vector machines, are validated by a verification mechanism based on multiple rejection thresholds. In order to tune these (class-dependent) rejection thresholds, an algorithm based on dynamic programming is proposed which focus on maximizing the recognition rate for a given prefixed error rate. Preliminary reported results of experiments carried out on RIMES database show that this approach performs equal or superior to other state-of-the-art rejection methods.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"156 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":"122611242","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
The Evolution of Document Authentication 文件认证的演变
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.128
D. Doermann
{"title":"The Evolution of Document Authentication","authors":"D. Doermann","doi":"10.1109/ICFHR.2010.128","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.128","url":null,"abstract":"Authentication in the document context refers to the ability to trace the origins of a document to a given person or device used to produce it or to a given time or place it was produced. The general approach typically involves comparing physical, visual and/or linguistic properties of a questioned source to reproducible properties of a known or genuine source. The challenges lie in defining acceptable variations between authentic sources and identifying distinguishing characteristics of forgeries or unknown sources. As documents have evolved from physical objects made with primitive devices to manuscripts created by machine to content that lives only in electronic form, methods for authentication have also changed. While there has been considerable work in attempts to automate problems such as signature verification and writer identification in the image domain, and to guarantee authenticity or prove authorship in the electronic text domain, other authentication tasks have continued to rely extensively on human expertise. This talk will overview the general concept of authentication and discuss some of the novel approaches that can be used to authenticate documents and detect forgeries. While technology advances in archeology, antiquities, forensics, security and business are driving new and better ways to perform authentication, they are also enabling more realistic ways to produce counterfeits. As we continue to make progress in automating various analysis and recognition tasks, the question remains as to how well we will be able to automate these highly expert driven authentication tasks.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"2832 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":"127445580","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: 4
Online Handwritten Kannada Word Recognizer with Unrestricted Vocabulary 在线手写卡纳达语单词识别器与无限制的词汇
2010 12th International Conference on Frontiers in Handwriting Recognition Pub Date : 2010-11-16 DOI: 10.1109/ICFHR.2010.100
Rituraj Kunwar, K. Shashikiran, A. Ramakrishnan
{"title":"Online Handwritten Kannada Word Recognizer with Unrestricted Vocabulary","authors":"Rituraj Kunwar, K. Shashikiran, A. Ramakrishnan","doi":"10.1109/ICFHR.2010.100","DOIUrl":"https://doi.org/10.1109/ICFHR.2010.100","url":null,"abstract":"In this paper, we propose a novel heuristic approach to segment recognizable symbols from online Kannada word data and perform recognition of the entire word. Two different estimates of first derivative are extracted from the preprocessed stroke groups and used as features for classification. Estimate 2 proved better resulting in 88% accuracy, which is 3% more than that achieved with estimate 1. Classification is performed by statistical dynamic space warping (SDSW) classifier which uses X, Y co-ordinates and their first derivatives as features. Classifier is trained with data from 40 writers. 295 classes are handled covering Kannada aksharas, with Kannada numerals, Indo-Arabic numerals, punctuations and other special symbols like $ and #. Classification accuracies obtained are 88% at the akshara level and 80% at the word level, which shows the scope for further improvement in segmentation algorithm.","PeriodicalId":335044,"journal":{"name":"2010 12th International Conference on Frontiers in Handwriting Recognition","volume":"24 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":"127488621","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信