摘要
In the conventional face recognition, most researchers focused on enhancing the precision which input data was already the member of database. However, they paid less necessary attention to confirm whether the input data belonged to database. This paper proposed an approach of face recognition using two-dimensional principal component analysis (2DPCA). It designed a novel composite classifier founded by statistical technique. Moreover, this paper utilized the advantages of SVM and Logic Regression in field of classification and therefore made its accuracy improved a lot. To test the performance of the composite classifier, the experiments were implemented on the ORL and the FERET database and the result was shown and evaluated.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Seventh International Conference on Electronics and Information Engineering |
| 编辑 | Xiyuan Chen |
| 出版商 | SPIE |
| ISBN（电子版） | 9781510610804 |
| DOI | |
| 出版状态 | 已出版 - 2017 |
| 活动 | 7th International Conference on Electronics and Information Engineering, ICEIE 2016 - Nanjing, 中国 期限: 17 9月 2016 → 18 9月 2016 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 10322 |
| ISSN（印刷版） | 0277-786X |
| ISSN（电子版） | 1996-756X |
会议
| 会议 | 7th International Conference on Electronics and Information Engineering, ICEIE 2016 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Nanjing |
| 时期 | 17/09/16 → 18/09/16 |
指纹
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Li, J., & Yan, D. (2017). Face recognition using composite classifier with 2DPCA. 在 X. Chen (编辑), Seventh International Conference on Electronics and Information Engineering 文章 103221P (Proceedings of SPIE - The International Society for Optical Engineering; 卷 10322). SPIE. https://doi.org/10.1117/12.2265516