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  1. No Access

    Article

    Texture based feature extraction using symbol patterns for facial expression recognition

    Facial expressions can convey the internal emotions of a person within a certain scenario and play a major role in the social interaction of human beings. In automatic Facial Expression Recognition (FER) syste...

    Mukku Nisanth Kartheek, Munaga V. N. K. Prasad, Raju Bhukya in Cognitive Neurodynamics (2024)

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    Article

    CC-CNN: A cross connected convolutional neural network using feature level fusion for facial expression recognition

    Facial expressions are an important form of non-verbal communication as they directly reflect the internal emotions of a person. The primary task of automated Facial Expression Recognition (FER) systems lies i...

    Kadimi Naveen Kumar Tataji, Mukku Nisanth Kartheek in Multimedia Tools and Applications (2024)

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    Chapter and Conference Paper

    Federated Scaling of Pre-trained Models for Deep Facial Expression Recognition

    Building an efficient deep learning-based Facial Expression Recognition (FER) system is challenging due to the requirements of large amounts of personal data and the rise in data privacy concerns. Federated le...

    P. V. N. Pooja Srihitha, Mridula Verma in Computer Vision and Image Processing (2024)

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    Article

    Radial mesh pattern: a handcrafted feature descriptor for facial expression recognition

    Facial expressions are extremely important in the social interaction as they can display the internal emotions and intentions of an individual. Accurately classifying the facial expressions into various catego...

    Mukku Nisanth Kartheek in Journal of Ambient Intelligence and Humani… (2023)

  5. No Access

    Article

    Chess pattern with different weighting schemes for person independent facial expression recognition

    Facial expressions are an important form of non-verbal communication as they can depict the internal mood and emotions of an individual. In Automatic Facial Expression Recognition (AFER) system, the main task ...

    Mukku Nisanth Kartheek, Munaga V. N. K. Prasad in Multimedia Tools and Applications (2022)

  6. Article

    Open Access

    Modified chess patterns: handcrafted feature descriptors for facial expression recognition

    Facial expressions are predominantly important in the social interaction as they convey the personal emotions of an individual. The main task in Facial Expression Recognition (FER) systems is to develop featur...

    Mukku Nisanth Kartheek, Munaga V. N. K. Prasad in Complex & Intelligent Systems (2021)

  7. No Access

    Article

    Privacy-preserving and verifiable multi-instance iris remote authentication using public auditor

    Homomorphic Encryption (HE) is the most widely explored research area to construct privacy-preserving biometric authentication systems due to its advantages over cancelable biometrics and biometric cryptosyste...

    Mahesh Kumar Morampudi, Munaga V. N. K. Prasad, U. S. N. Raju in Applied Intelligence (2021)

  8. No Access

    Chapter and Conference Paper

    Knight Tour Patterns: Novel Handcrafted Feature Descriptors for Facial Expression Recognition

    Facial expressions are used frequently in the social interaction and are considered important as they can reflect the inner emotional states of an individual. Automatic Facial Expression Recognition (FER) syst...

    Mukku Nisanth Kartheek, Rapolu Madhuri in Computer Analysis of Images and Patterns (2021)

  9. No Access

    Chapter and Conference Paper

    An Optimal Wavelet Detailed-Coefficient Determination Using Time-Series Clustering

    Time-series clustering is used to find out similar patterns which occur in a time-series data. Time-series sequences are characterized by many features. The trend and seasonality, for instance, are the two imp...

    C. I. Johnpaul, Munaga V. N. K. Prasad in Advances in Artificial Intelligence and Da… (2021)

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    Article

    Multi-instance iris remote authentication using private multi-class perceptron on malicious cloud server

    In recent years, biometric authentication system (BAS) has become the most promising and popular authentication system in identity management. Due to its capability to solve the limitations of unimodal systems, m...

    Mahesh Kumar Morampudi, Sowmya Veldandi, Munaga V. N. K. Prasad in Applied Intelligence (2020)

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    Article

    Privacy-preserving iris authentication using fully homomorphic encryption

    Rapid advancement in technology has led to the use of biometric authentication in every field. In particular, from the past few years, iris recognition systems has gained overwhelming advancement over other bi...

    Mahesh Kumar Morampudi, Munaga V. N. K. Prasad in Multimedia Tools and Applications (2020)

  12. No Access

    Article

    Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T-operators

    With the emergence of biometric-based authentication systems in real-world applications, template protection in biometrics is a significant issue to be considered in the recent years. This paper presents two ...

    Mulagala Sandhya, Munaga V. N. K. Prasad in Pattern Analysis and Applications (2018)

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    Book

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    Chapter and Conference Paper

    Selected Context Dependent Prediction for Reversible Watermarking with Optimal Embedding

    This paper presents a novel prediction error expansion (PEE) based reversible watermarking using 3 \(\times \) ...

    Ravi Uyyala, Munaga V. N. K. Prasad in Proceedings of International Conference on… (2017)

  15. No Access

    Chapter

    Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing

    In biometric identification systems, the identity corresponding to the query image is determined by comparing it against all images in the database. This exhaustive matching process increases the response time...

    Ilaiah Kavati, Munaga V. N. K. Prasad in Efficient Biometric Indexing and Retrieval… (2017)

  16. No Access

    Chapter

    A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion

    This chapter proposes a new clustering-based indexing technique for large biometric databases. We compute a fixed-length index code for each biometric image in the database by computing its similarity against ...

    Ilaiah Kavati, Munaga V. N. K. Prasad in Efficient Biometric Indexing and Retrieval… (2017)

  17. No Access

    Chapter

    Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval

    Biometric identification systems capture biometric (i.e., fingerprint, palm, and iris) images and store them in a central database. During identification, the query biometric image is compared against all imag...

    Ilaiah Kavati, Munaga V. N. K. Prasad in Efficient Biometric Indexing and Retrieval… (2017)

  18. No Access

    Chapter

    Conclusions and Future Scope

    This chapter discusses the outcomes of our research. This chapter summarizes our research contributions and also discuss some future research directions.

    Ilaiah Kavati, Munaga V. N. K. Prasad in Efficient Biometric Indexing and Retrieval… (2017)

  19. No Access

    Chapter

    Biometric Template Protection: A Systematic Literature Review of Approaches and Modalities

    With the emergence of biometric authentication systems, template protection for biometrics captured attention in the recent years. The privacy concern arises due to storage and misuse of biometric data in vari...

    Mulagala Sandhya, Munaga V. N. K. Prasad in Biometric Security and Privacy (2017)

  20. No Access

    Chapter

    Introduction

    In biometric identification systems, the identity corresponding to an individual is determined by comparing his/her template against all user templates in the database. This exhaustive matching process increas...

    Ilaiah Kavati, Munaga V. N. K. Prasad in Efficient Biometric Indexing and Retrieval… (2017)

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