Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition最新文献

Bigram-based post-processing for online handwriting recognition using correctness evaluation 基于双元图的在线手写识别的后处理

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-11-07 DOI: 10.1109/IWFHR.2002.1030892

A. Nakamura, H. Kawajiri

引用次数: 2

Confidence modeling for verification post-processing for handwriting recognition 用于手写识别验证后处理的置信度建模

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030880

J. Pitrelli, M. Perrone

引用次数: 23

Genetic engineering of handwriting representations 手写表示的基因工程

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030900

Alexandre Lemieux, Christian Gagné, M. Parizeau

引用次数: 18

On line signature verification: Fusion of a Hidden Markov Model and a neural network via a support vector machine 在线签名验证:基于支持向量机的隐马尔可夫模型与神经网络的融合

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030918

Marc Fuentes, S. Garcia-Salicetti, B. Dorizzi

引用次数: 62

Multidimensional multistage k-NN classifiers for handwritten digit recognition 手写数字识别的多维多阶段k-NN分类器

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030878

Iratxe Soraluze Arriola, Clemente Rodríguez Lafuente, F. Boto, A. Pérez

{"title":"Multidimensional multistage k-NN classifiers for handwritten digit recognition","authors":"Iratxe Soraluze Arriola, Clemente Rodríguez Lafuente, F. Boto, A. Pérez","doi":"10.1109/IWFHR.2002.1030878","DOIUrl":"https://doi.org/10.1109/IWFHR.2002.1030878","url":null,"abstract":"This paper analyses the application of multistage classifiers based on the k-NN rule to the automatic classification of handwritten digits. The discriminating capacity of a k-NN classifier increases as the size and dimensionality of the reference pattern set (RPS) increases. This supposes a problem for k-NN classifiers in real applications: the high computational cost required. In order to accelerate the process of calculating the distance to each pattern of the RPS, some authors propose the use of condensing techniques. These methods try to reduce the size of the RPS without losing classification power. Our alternative proposal is based on hierarchical classifiers with rejection techniques and incremental learning that reduce the computational cost of the classifier. We have used 270,000 digits (160,000 digits for training and 110, 000 for the test) of the NIST Special Data Bases 19 and 3 (SD19 and SD3) as experimental data sets. The best non -hierarchical classifier achieves a hit rate of 99.50%. The hierarchical classifier achieves the same hit ratio, but with 24.5 times lower computational cost than best non-hierarchical classifier found in our experimentation and 6 times lower than Hart's Algorithm.","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"120 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707994","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

Creation of classifier ensembles for handwritten word recognition using feature selection algorithms 使用特征选择算法创建用于手写单词识别的分类器集成

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030906

Simon Günter, H. Bunke

引用次数: 62

Extraction of place-name from natural scenes 自然景观中地名的提取

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030916

Takuma Yamaguchi, Y. Nakano

引用次数: 5

Handwritten text recognition through writer adaptation 手写文字识别通过作家的适应

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030937

A. Nosary, T. Paquet, L. Heutte, A. Bensefia

引用次数: 13

A new warping technique for normalizing likelihood of multiple classifiers and its effectiveness in combined on-line/off-line japanese character recognition 一种新的多分类器归一化似然的扭曲技术及其在线/离线联合识别日文字符的有效性

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030905

Ondrej Velek, Stefan Jäger, M. Nakagawa

{"title":"A new warping technique for normalizing likelihood of multiple classifiers and its effectiveness in combined on-line/off-line japanese character recognition","authors":"Ondrej Velek, Stefan Jäger, M. Nakagawa","doi":"10.1109/IWFHR.2002.1030905","DOIUrl":"https://doi.org/10.1109/IWFHR.2002.1030905","url":null,"abstract":"We propose a technique for normalizing likelihood of multiple classifiers prior to their combination. Our technique takes classifier-specific likelihood characteristics into account and maps them to a common, ideal characteristic allowing fair combination under arbitrary combination schemes. For each classifier, a simple warping process aligns the likelihood with the accumulated recognition rate, so that recognition rate becomes a uniformly increasing function of likelihood. For combining normalized likelihood values, we investigate several elementary combination rules, such as sum-rule or max-rule. We achieved a significant performance gain of more than five percent, compared to the best single recognition rate, showing both the effectiveness of our method for classifier combination and the benefit of combining on-line Japanese character recognition with stroke order and stroke number independent off-line recognition. Moreover, our experiments provide additional empirical evidence for the good performance of the sum rule in comparison with other elementary combination rules, as has already been observed by other research groups.","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115802134","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: 34

Linguistic integration information in the AABATAS Arabic text analysis system AABATAS阿拉伯语文本分析系统中的语言整合信息

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition Pub Date : 2002-08-06 DOI: 10.1109/IWFHR.2002.1030941

S. Kanoun, A. Ennaji, Y. Lecourtier, A. Alimi

{"title":"Linguistic integration information in the AABATAS Arabic text analysis system","authors":"S. Kanoun, A. Ennaji, Y. Lecourtier, A. Alimi","doi":"10.1109/IWFHR.2002.1030941","DOIUrl":"https://doi.org/10.1109/IWFHR.2002.1030941","url":null,"abstract":"An Arabic text analysis system called AABATAS (affixal approach-based Arabic text analysis system) is proposed. AABATAS recognizes and categorizes the words while identifying their morphological and grammatical characteristics. It is based on a new approach for Arabic word recognition called affixal approach. This affixal approach is guided by the structural properties of language. A dynamic decomposition-recognition mechanism is used in our system and leads to generate a set of reliable solutions for each word. This mechanism attempts to identify, the word basic morphemes: the prefix, the infix, the suffix and the root contrary to the existing approaches that are usually based on the recognition of the whole word or the pseudo-word or the letter. In this paper, we briefly present the general characteristics of Arabic texts as well as a succinct survey of the existing approaches used for their recognition. We then describe the structural properties of the Arabic language and the two systems based on these last properties. The first one concerns a word recognition process and the second is devoted to text analysis. We finally show two experimental results; one on a data set of 545 words and another on a text example.","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"77 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116357531","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: 8