{"product_id":"multimodal-biometric-and-machine-learning-technologies-9781119785408","title":"Multimodal Biometric and Machine Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners. Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recognition, and fingerprint scanning, to verify an individual???s identity. The need for enhanced security and authentication has become increasingly important, and with the rise of digital technologies, cyber-attacks and identity theft have increased exponentially. Traditional authentication methods, such as passwords and PINs, have become less secure as hackers devise new ways to bypass them. In this context, multimodal biometric and machine learning technologies offer a more secure and reliable approach to authenticat\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Multimodal Biometric in Computer Vision 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSunayana Kundan Shivthare, Yogesh Kumar Sharma and Ranjit D. Patil\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Importance of Artificial Intelligence, Machine Learning and Deep Learning in Biometric System 2\u003c\/p\u003e \u003cp\u003e1.3 Machine Learning 4\u003c\/p\u003e \u003cp\u003e1.4 Deep Learning 6\u003c\/p\u003e \u003cp\u003e1.5.1 Discussions 11\u003c\/p\u003e \u003cp\u003e1.6 Biometric System 11\u003c\/p\u003e \u003cp\u003e1.7 Need for Multimodal Biometric 15\u003c\/p\u003e \u003cp\u003e1.8 Databases Used by Biometric System 17\u003c\/p\u003e \u003cp\u003e1.9 Impact of DL in the Current Scenario 19\u003c\/p\u003e \u003cp\u003e1.10 Conclusion 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 A Vaccine Slot Tracker Model Using Fuzzy Logic for Providing Quality of Service 31\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMohammad Faiz, Nausheen Fatima and Ramandeep Sandhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 32\u003c\/p\u003e \u003cp\u003e2.2 Related Research 33\u003c\/p\u003e \u003cp\u003e2.3 Novelty of the Proposed Work 37\u003c\/p\u003e \u003cp\u003e2.4 Proposed Model 38\u003c\/p\u003e \u003cp\u003e2.5 Proposed Fuzzy-Based Vaccine Slot Tracker Model 42\u003c\/p\u003e \u003cp\u003e2.6 Simulation 44\u003c\/p\u003e \u003cp\u003e2.7 Conclusion 47\u003c\/p\u003e \u003cp\u003e2.8 Future Work 50\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Enhanced Text Mining Approach for Better Ranking System of Customer Reviews 53\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRamandeep Sandhu, Amritpal Singh, Mohammad Faiz, Harpreet Kaur and Sunny Thukral\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 53\u003c\/p\u003e \u003cp\u003e3.2 Techniques of Text Mining 55\u003c\/p\u003e \u003cp\u003e3.3 Related Research 58\u003c\/p\u003e \u003cp\u003e3.4 Research Methodology 63\u003c\/p\u003e \u003cp\u003e3.5 Conclusion 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Spatial Analysis of Carbon Sequestration Mapping Using Remote Sensing and Satellite Image Processing 71\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePrashantkumar B. Sathvara, J. Anuradha, R. Sanjeevi, Sandeep Tripathi and Ankitkumar B. Rathod\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 72\u003c\/p\u003e \u003cp\u003e4.2 Materials and Methods 75\u003c\/p\u003e \u003cp\u003e4.3 Results 77\u003c\/p\u003e \u003cp\u003e4.4 Conclusion 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Applications of Multimodal Biometric Technology 85\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShivalika Goyal and Amit Laddi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 85\u003c\/p\u003e \u003cp\u003e5.2 Components of MBS 87\u003c\/p\u003e \u003cp\u003e5.3 Biometrics Modalities 89\u003c\/p\u003e \u003cp\u003e5.4 Applications of Multimodal Biometric Systems 89\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 A Study of Multimodal Colearning, Application in Biometrics and Authentication 103\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSandhya Avasthi, Tanushree Sanwal, Ayushi Prakash and Suman Lata Tripathi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 104\u003c\/p\u003e \u003cp\u003e6.2 Multimodal Deep Learning Methods and Applications 108\u003c\/p\u003e \u003cp\u003e6.3 MMDL Application in Biometric Monitoring 113\u003c\/p\u003e \u003cp\u003e6.4 Fusion Levels in Multimodal Biometrics 116\u003c\/p\u003e \u003cp\u003e6.5 Authentication in Mobile Devices Using Multimodal Biometrics 119\u003c\/p\u003e \u003cp\u003e6.6 Challenges and Open Research Problems 122\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 123\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Structured Review on Virtual Reality Technology Application in the Field of Sports 129\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHarmanpreet Kaur, Arpit Kulshreshtha and Deepika Ghai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 130\u003c\/p\u003e \u003cp\u003e7.2 Related Work 132\u003c\/p\u003e \u003cp\u003e7.3 Conclusion 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 A Systematic and Structured Review of Fuzzy Logic-Based Evaluation in Sports 145\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHarmanpreet Kaur, Sourabh Chhatiye and Jimmy Singla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 146\u003c\/p\u003e \u003cp\u003e8.2 Related Works 148\u003c\/p\u003e \u003cp\u003e8.3 Conclusion 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Machine Learning and Deep Learning for Multimodal Biometrics 163\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDanvir Mandal and Shyam Sundar Pattnaik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 163\u003c\/p\u003e \u003cp\u003e9.2 Machine Learning Using Multimodal Biometrics 165\u003c\/p\u003e \u003cp\u003e9.3 Deep Learning Using Multimodal Biometrics 167\u003c\/p\u003e \u003cp\u003e9.4 Conclusion 169\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Machine Learning and Deep Learning: Classification and Regression Problems, Recurrent Neural Networks, Convolutional Neural Networks 173\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eR. K. Jeyachitra and Manochandar, S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 174\u003c\/p\u003e \u003cp\u003e10.2 Classification of Machine Learning 174\u003c\/p\u003e \u003cp\u003e10.3 Supervised Learning 175\u003c\/p\u003e \u003cp\u003e10.4 Unsupervised Learning 201\u003c\/p\u003e \u003cp\u003e10.5 Reinforcement Learning 203\u003c\/p\u003e \u003cp\u003e10.6 Hybrid Approach 204\u003c\/p\u003e \u003cp\u003e10.7 Other Common Approaches 205\u003c\/p\u003e \u003cp\u003e10.8 DL Techniques 210\u003c\/p\u003e \u003cp\u003e10.9 Conclusion 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Handwriting and Speech-Based Secured Multimodal Biometrics Identification Technique 227\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSwathi Gowroju, V. Swathi and Ankita Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 228\u003c\/p\u003e \u003cp\u003e11.2 Literature Survey 230\u003c\/p\u003e \u003cp\u003e11.3 Proposed Method 231\u003c\/p\u003e \u003cp\u003e11.4 Results and Discussion 237\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Convolutional Neural Network Approach for Multimodal Biometric Recognition System for Banking Sector on Fusion of Face and Finger 251\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSandeep Kumar, Shilpa Choudhary, Swathi Gowroju and Abhishek Bhola\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 252\u003c\/p\u003e \u003cp\u003e12.2 Literature Work 253\u003c\/p\u003e \u003cp\u003e12.3 Proposed Work 256\u003c\/p\u003e \u003cp\u003e12.4 Results and Discussion 260\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 265\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Secured Automated Certificate Creation Based on Multimodal Biometric Verification 269\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShilpa Choudhary, Sandeep Kumar, Monali Gulhane and Munish Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 270\u003c\/p\u003e \u003cp\u003e13.2 Literature Work 274\u003c\/p\u003e \u003cp\u003e13.3 Proposed Work 276\u003c\/p\u003e \u003cp\u003e13.4 Experiment Result 278\u003c\/p\u003e \u003cp\u003e13.5 Conclusion and Future Scope 279\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Face and Iris-Based Secured Authorization Model Using CNN 283\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMunish Kumar, Abhishek Bhola, Ankita Tiwari and Monali Gulhane\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 284\u003c\/p\u003e \u003cp\u003e14.2 Related Work 285\u003c\/p\u003e \u003cp\u003e14.3 Proposed Methodology 287\u003c\/p\u003e \u003cp\u003e14.4 Results and Discussion 291\u003c\/p\u003e \u003cp\u003e14.5 Conclusion and Future Scope 296\u003c\/p\u003e \u003cp\u003eReferences 297\u003c\/p\u003e \u003cp\u003eIndex 301\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49528864440663,"sku":"9781119785408","price":169.16,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119785408.jpg?v=1731873327","url":"https:\/\/bookcurl.com\/products\/multimodal-biometric-and-machine-learning-technologies-9781119785408","provider":"Book Curl","version":"1.0","type":"link"}