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Saiyed Umer - IEEE Xplore Author Profile
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Saiyed Umer

Publications
15
Citations
193
Publications by Year
20142024
Co-Authors:
Show All Co-Authors (24)
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Saiyed Umer

Affiliation

Department of Computer Science and Engineering
Aliah University
Kolkata, India

Publication Topics

Biography

Saiyed Umer received the B.Sc. degree (Hons.) in mathematics from Vidyasagar University, India, in 2005, the M.C.A. degree from the West Bengal University of Technology, India, in 2008, the M.Tech. degree from the University of Kalyani, India, in 2012, and the Ph.D. degree from the Department of Information Technology, Jadavpur University, Kolkata, India. He was a Research Personnel with the Indian Statistical Institute (ISI), Kolkata, from November 2012 to April 2017. He is currently an Assistant Professor with the Department of Computer Science and Engineering, Aliah University, Kolkata. His research interests include computer vision, machine learning, and deep learning.(Based on document published on 3 June 2020).
Publications
15
Citations
193
Publications by Year
20142024
Co-Authors:
Show All Co-Authors (24)
Author's Published Works

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A Deep Quantum Convolutional Neural Network Based Facial Expression Recognition For Mental Health Analysis

Sanoar Hossain;Saiyed Umer;Ranjeet Kumar Rout;Hasan Al Marzouqi

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2024 | Volume: 32 | Journal Article |
Cited by: Papers (6)
The purpose of this work is to analyze how new technologies can enhance clinical practice while also examining the physical traits of emotional expressiveness of face expression in a number of psychiatric illnesses. Hence, in this work, an automatic facial expression recognition system has been proposed that analyzes static, sequential, or video facial images from medical healthcare data to detect...Show More

A Deep Quantum Convolutional Neural Network Based Facial Expression Recognition For Mental Health Analysis

Sanoar Hossain;Saiyed Umer;Ranjeet Kumar Rout;Hasan Al Marzouqi

Year: 2024 | Volume: 32 | Journal Article |

Enhanced Biometric Template Protection Schemes for Securing Face Recognition in IoT Environment

Alamgir Sardar;Saiyed Umer;Ranjeet Kumar Rout;Kshira Sagar Sahoo;Amir H. Gandomi

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 13 | Journal Article |
Cited by: Papers (3)
With the increasing use of biometrics in Internet of Things (IoT)-based applications, it is essential to ensure that biometric-based authentication systems are secure. Biometric characteristics can be accessed by anyone, which poses a risk of unauthorized access to the system through spoofed biometric traits. Therefore, it is important to implement secure and efficient security schemes suitable fo...Show More

Enhanced Biometric Template Protection Schemes for Securing Face Recognition in IoT Environment

Alamgir Sardar;Saiyed Umer;Ranjeet Kumar Rout;Kshira Sagar Sahoo;Amir H. Gandomi

Year: 2024 | Volume: 11, Issue: 13 | Journal Article |

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment

Saiyed Umer;Alamgir Sardar;Ranjeet Kumar Rout;M. Tanveer;Imran Razzak

IEEE Internet of Things Journal
Year: 2023 | Volume: 10, Issue: 24 | Journal Article |
Cited by: Papers (4)
A multimodal biometric recognition system on Internet of Things (IoT) with Blockchain environments has been proposed in this article. This system distributes a decentralized biometric authentication process mechanism and improves security in the IoT environment. The implementation of this system consists of five components: 1) image preprocessing; 2) feature representation; 3) cancelable biometric...Show More

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment

Saiyed Umer;Alamgir Sardar;Ranjeet Kumar Rout;M. Tanveer;Imran Razzak

Year: 2023 | Volume: 10, Issue: 24 | Journal Article |

An Efficient and Secure Method of Plaintext-Based Image Encryption Using Fibonacci and Tribonacci Transformations

Chinmay Maiti;Bibhas Chandra Dhara;Saiyed Umer;Vijayan Asari

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (1)
In this article, we have proposed an efficient and secure method of image encryption. This image encryption method is new, where the plain image is confused using Fibonacci Transformation, and Tribonacci Transformation modifies the pixel values. The Fibonacci numbers and Tribonacci numbers of the above transformations are determined using the hash value of the plain image. To our knowledge, this i...Show More

An Efficient and Secure Method of Plaintext-Based Image Encryption Using Fibonacci and Tribonacci Transformations

Chinmay Maiti;Bibhas Chandra Dhara;Saiyed Umer;Vijayan Asari

Year: 2023 | Volume: 11 | Journal Article |

A Secure and Efficient Biometric Template Protection Scheme for Palmprint Recognition System

Alamgir Sardar;Saiyed Umer;Ranjeet Kumar Rout;Muhammad Khurram Khan

IEEE Transactions on Artificial Intelligence
Year: 2023 | Volume: 4, Issue: 5 | Journal Article |
Cited by: Papers (8)
The accuracy and security of a biometric system are the two sides of a coin. A biometric system must be simple, flexible, efficient, and secure enough from unauthorized access. Concerning these requirements, this article presents an enhanced palmprint recognition system with superior performance and improved biometric template protection schemes. This method comprises five components: image prepro...Show More

A Secure and Efficient Biometric Template Protection Scheme for Palmprint Recognition System

Alamgir Sardar;Saiyed Umer;Ranjeet Kumar Rout;Muhammad Khurram Khan

Year: 2023 | Volume: 4, Issue: 5 | Journal Article |

Protein-protein interaction prediction from primary sequences using supervised machine learning algorithm

Monika Khandelwal;Ranjeet Kumar Rout;Saiyed Umer

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
Year: 2022 | Conference Paper |
Cited by: Papers (6)
Protein-Protein Interactions (PPI) study is significant to comprehending cellular biological functions. Though there are different experimental techniques to predict PPIs, detecting PPIs in the lab is costly and time-consuming. Nowadays, high throughput approaches and large-scale biological techniques have achieved incredible growth. These large-scale techniques experience false positive and false...Show More

Protein-protein interaction prediction from primary sequences using supervised machine learning algorithm

Monika Khandelwal;Ranjeet Kumar Rout;Saiyed Umer

Year: 2022 | Conference Paper |

Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

Carmen Bisogni;Aniello Castiglione;Sanoar Hossain;Fabio Narducci;Saiyed Umer

IEEE Transactions on Industrial Informatics
Year: 2022 | Volume: 18, Issue: 8 | Journal Article |
Cited by: Papers (78)
A facial expression recognition system that can provide quick assistance to the healthcare system and exceptional services to the patients is proposed in this article. The implementation of this work is divided into three components. In the first component, landmark points on the facial region are detected; a fixed-sized rectangular box is obtained by normalizing the detected face region, and then...Show More

Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

Carmen Bisogni;Aniello Castiglione;Sanoar Hossain;Fabio Narducci;Saiyed Umer

Year: 2022 | Volume: 18, Issue: 8 | Journal Article |

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

Alamgir Sardar;Saiyed Umer;Chiara Pero;Michele Nappi

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (29)
A novel cancelable FaceHashing technique based on non-invertible transformation with encryption and decryption template has been proposed in this paper. The proposed system has four components: face preprocessing, feature extraction, cancelable feature extraction followed by the classification, and encryption/decryption of cancelable face feature templates. During face preprocessing, the facial re...Show More

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

Alamgir Sardar;Saiyed Umer;Chiara Pero;Michele Nappi

Year: 2020 | Volume: 8 | Journal Article |

ANT Colony Optimization based Optimal Path Selection and Data Gathering in WSN

Biswa Mohan Sahoo;Ranjeet Kumar Rout;Saiyed Umer;Hari Mohan Pandey

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)
Year: 2020 | Conference Paper |
Cited by: Papers (17)
A data aggregation is an essential process in the field of wireless sensor network to deal with base station and sink node. In current data gathering mechanism, the nearest nodes to the sink receives data from all the other nodes and shares it to the sink. The data aggregation process is utilized to increase the capability and efficiency of the existing system. In existing technique, the possibili...Show More

ANT Colony Optimization based Optimal Path Selection and Data Gathering in WSN

Biswa Mohan Sahoo;Ranjeet Kumar Rout;Saiyed Umer;Hari Mohan Pandey

Year: 2020 | Conference Paper |

Event Recognition in Unconstrained Video using Multi-Scale Deep Spatial Features

Saiyed Umer;Mrinmoy Ghorai;Partha Pratim Mohanta

2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Event recognition in an unconstrained video is a challenging problem due to its complex nature in the field of computer vision. In this paper, we have designed a new technique using deep learning framework to recognize an event during video classification. This technique is enough capable for modeling multiscale spatial information to correctly classify events either in short or long videos. Three...Show More

Event Recognition in Unconstrained Video using Multi-Scale Deep Spatial Features

Saiyed Umer;Mrinmoy Ghorai;Partha Pratim Mohanta

Year: 2017 | Conference Paper |

A novel palmprint recognition system using patch based filter response

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
A novel palmprint recognition system is proposed in this paper. The proposed system consists of pre-processing, feature extraction and classification components. During preprocessing a region-of-interest for palm texture is extracted from a given hand image and for this thresholding and mathematical morphological based operators are employed. The features extracted from the detected palmprint text...Show More

A novel palmprint recognition system using patch based filter response

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

Year: 2017 | Conference Paper |

MP-FEG: Media Player controlled by Facial Expressions and Gestures

Swapna Agarwal;Saiyed Umer

2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
Year: 2015 | Conference Paper |
Cited by: Papers (5)
In this paper we represent a new technique to interact with the computer in a non-tangible way. Specifically we have designed a Media Player system controller by Facial Expressions and Gestures (MP-FEG). We detect and track one landmark point on the finger and 18 landmark points on the lips to capture the movement of the finger and the lips of the user. The movement patterns are classified into ha...Show More

MP-FEG: Media Player controlled by Facial Expressions and Gestures

Swapna Agarwal;Saiyed Umer

Year: 2015 | Conference Paper |

Biometric recognition system for challenging faces

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
Year: 2015 | Conference Paper |
Cited by: Papers (7)
A novel method for face recognition system using challenging profile and frontal faces is proposed in this paper. The proposed face recognition system consists of pre-processing, feature extraction and classification components. In this work, for pre-processing, the face region is extracted using facial landmark points, obtained by the tree structured part model. During feature extraction, SIFT de...Show More

Biometric recognition system for challenging faces

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

Year: 2015 | Conference Paper |

A fast iris localization using inversion transform and restricted circular Hough transform

Saiyed Umer;Bibhas Chandra Dhara

2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)
Year: 2015 | Conference Paper |
Cited by: Papers (17)
This paper presents a fast segmentation of iris portion from an eye image in an iris recognition system. In iris segmentation, we have to find the inner boundary (between pupil and iris) and outer boundary (between sclera and iris). To find the inner boundary a restricted circular Hough transform based method is applied. To locate the outer boundary image is first passes through inversion transfor...Show More

A fast iris localization using inversion transform and restricted circular Hough transform

Saiyed Umer;Bibhas Chandra Dhara

Year: 2015 | Conference Paper |

A Fast and Robust Method for Iris Localization

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

2014 Fourth International Conference of Emerging Applications of Information Technology
Year: 2014 | Conference Paper |
Cited by: Papers (7)
A novel method for localization of iris images is proposed in this paper. Especially the iris localization plays a vital role in an iris recognition system such that it increases both speed and performances of the recognition system to a great extent. The process of iris localization is used to detect an annular region between the pupil (black portion) and the sclera (white portion) of an eye. Her...Show More

A Fast and Robust Method for Iris Localization

Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

Year: 2014 | Conference Paper |

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