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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...
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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...
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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...
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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...
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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 ...
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Article
Open AccessModified 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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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 \(\times \) ...
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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...
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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 ...
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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...
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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.
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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...
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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...