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Selvanayaki, M.
- Biometrics Standarad and Standaradization
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1 PSGR Krishnammal College for Women, IN
1 PSGR Krishnammal College for Women, IN
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Biometrics and Bioinformatics, Vol 5, No 12 (2013), Pagination: 409-412Abstract
Prevailing methods of human identification based on credentials (identification documents and PIN) are not able to meet the growing demands for stringent security in applications such as national ID cards, border crossings, government benefits, and access control. As a result, biometric recognition, or simply biometrics, which is based on physiological and behavioral characteristics of a person, is being increasingly adopted and mapped to rapidly growing person identification applications. Unlike credentials (documents and PIN), biometric traits (e.g., fingerprint, face, and iris) cannot be lost, stolen, or easily forged; they are also considered to be persistent and unique. These requirements are typically specified in terms of identification accuracy, throughput, user acceptance, system security, robustness, and return on investment.Keywords
Biometrics, Fingerprint Identification, Iris Identification.- Study on Tools and Techniques to Manage the Textile Quality Control
Abstract Views :213 |
PDF Views:4
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1 Department of BCA, PSGR Krishnammal College for Women, Coimbatore, IN
1 Department of BCA, PSGR Krishnammal College for Women, Coimbatore, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 9, No 1 (2017), Pagination: 1-3Abstract
In recent years, the rapid development in IT applications like MIS, ERP, Network, Multimedia and Data Mining etc. are indispensable tools to boost productivity and drive maximum benefits that has ushered in a revolution in manufacturing and interactive marketing across the globe. The aim of this study is to elaborate how the textile industry can manage to improve their production capacity and resources to increase customer demands regarding individualized products with good quality using data mining tools and techniques. Data mining analysis offers many potential to improve the Quality control in manufacturing process and to enhance the usefulness of existing data.