{"title":"二级对角线FLD的指纹拼写识别","authors":"M. Suraj, D. S. Guru","doi":"10.1109/ICCTA.2007.115","DOIUrl":null,"url":null,"abstract":"The problem of recognising fingerspelling alphabets for sign language interpretation is addressed in this paper. An appearance based model is proposed. The proposed model suggests a modification to the existing diagonal FLD model at two stages, one at rearranging of images and the other at adjusting the contrast of the images by the use of histogram equalisation. The proposed model is called SecDia FLD. An extensive experimentation conducted on a large fingerspelling dataset revealed the superiority of the proposed model. In addition, we have also brought out the effectiveness of the proposed model on the Yale face dataset","PeriodicalId":308247,"journal":{"name":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Secondary Diagonal FLD for Fingerspelling Recognition\",\"authors\":\"M. Suraj, D. S. Guru\",\"doi\":\"10.1109/ICCTA.2007.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of recognising fingerspelling alphabets for sign language interpretation is addressed in this paper. An appearance based model is proposed. The proposed model suggests a modification to the existing diagonal FLD model at two stages, one at rearranging of images and the other at adjusting the contrast of the images by the use of histogram equalisation. The proposed model is called SecDia FLD. An extensive experimentation conducted on a large fingerspelling dataset revealed the superiority of the proposed model. In addition, we have also brought out the effectiveness of the proposed model on the Yale face dataset\",\"PeriodicalId\":308247,\"journal\":{\"name\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCTA.2007.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTA.2007.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secondary Diagonal FLD for Fingerspelling Recognition
The problem of recognising fingerspelling alphabets for sign language interpretation is addressed in this paper. An appearance based model is proposed. The proposed model suggests a modification to the existing diagonal FLD model at two stages, one at rearranging of images and the other at adjusting the contrast of the images by the use of histogram equalisation. The proposed model is called SecDia FLD. An extensive experimentation conducted on a large fingerspelling dataset revealed the superiority of the proposed model. In addition, we have also brought out the effectiveness of the proposed model on the Yale face dataset
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