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A method for the design of Fast Haar wavelet for signal processing and image processing has been proposed. In the proposed work, the analysis bank and synthesis bank of Haar wavelet is modified by using polyphase structure. Finally, the…

Multimedia · Computer Science 2010-02-11 V. Ashok , T. Balakumaran , C. Gowrishankar , I. L. A. Vennila , A. Nirmal kumar

In recent years, with the explosion of digital images on the Web, content-based retrieval has emerged as a significant research area. Shapes, textures, edges and segments may play a key role in describing the content of an image. Radon and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-19 Mina Nouredanesh , H. R. Tizhoosh , Ershad Banijamali , James Tung

Image-based biometrics can aid law enforcement in various aspects, for example in iris, fingerprint and soft-biometric recognition. A critical precondition for recognition is the availability of sufficient biometric information in images.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Sandra Bergmann , Denise Moussa , Christian Riess

Gender classification is attractive in a range of applications, including surveillance and monitoring, corporate profiling, and human-computer interaction. Individuals' identities may be gleaned from information about their gender, which is…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Basna Mohammed Salih Hasan , Ramadhan J. Mstafa

Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic tasks. Despite this, DIR algorithms have limited clinical use, largely due to a lack of benchmark datasets for quality assurance during…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Edward R Criscuolo , Yao Hao , Zhendong Zhang , Trevor McKeown , Deshan Yang

This letter introduces a novel speech enhancement method in the Hilbert-Huang Transform domain to mitigate the effects of acoustic impulsive noises. The estimation and selection of noise components is based on the impulsiveness index of…

Audio and Speech Processing · Electrical Eng. & Systems 2019-10-08 C. Medina , R. Coelho

Texture is the term used to characterize the surface of a given object or phenomenon and is an important feature used in image processing and pattern recognition. Our aim is to compare various Texture analyzing methods and compare the…

Computer Vision and Pattern Recognition · Computer Science 2012-10-30 Pooja Maknikar

Interpreting hierarchical structures latent in language is a key limitation of current language models (LMs). While previous research has implicitly leveraged these hierarchies to enhance LMs, approaches for their explicit encoding are yet…

Computation and Language · Computer Science 2024-11-22 Yuan He , Zhangdie Yuan , Jiaoyan Chen , Ian Horrocks

Learning-based techniques have significantly improved the accuracy and speed of deformable image registration. However, challenges such as reducing computational complexity and handling large deformations persist. To address these…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Xiang Chen , Renjiu Hu , Jinwei Zhang , Yuxi Zhang , Xinyao Yu , Min Liu , Yaonan Wang , Hang Zhang

Integrated sensing and communication (ISAC) can perform both communication and sensing tasks using the same frequency band and hardware, making it a key technology for 6G. As a low-cost implementation for large-scale antenna arrays,…

Signal Processing · Electrical Eng. & Systems 2026-02-04 Shupei Zhang , Shuhao Zeng , Boya Di , Lingyang Song

The development of learning-based hyperspectral image (HSI) compression models has recently attracted significant interest. Existing models predominantly utilize convolutional filters, which capture only local dependencies. Furthermore,they…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Martin Hermann Paul Fuchs , Behnood Rasti , Begüm Demir

Beneath the uncertain primitive visual features of face images are the primitive intrinsic structural patterns (PISP) essential for characterizing a sample face discriminative attributes. It is on this basis that this paper presents a…

Computer Vision and Pattern Recognition · Computer Science 2017-05-01 Chollette C. Olisah , Solomon Nunoo , Peter Ofedebe , Ghazali Sulong

As commonly-used methods for debiasing natural language understanding (NLU) models, dataset refinement approaches heavily rely on manual data analysis, and thus maybe unable to cover all the potential biased features. In this paper, we…

Computation and Language · Computer Science 2023-11-02 Xiaoyue Wang , Xin Liu , Lijie Wang , Yaoxiang Wang , Jinsong Su , Hua Wu

Iris recognition of living individuals is a mature biometric modality that has been adopted globally from governmental ID programs, border crossing, voter registration and de-duplication, to unlocking mobile phones. On the other hand, the…

Computer Vision and Pattern Recognition · Computer Science 2022-01-02 Andrey Kuehlkamp , Aidan Boyd , Adam Czajka , Kevin Bowyer , Patrick Flynn , Dennis Chute , Eric Benjamin

A novel channel coding scheme for progressive transmission of large images is proposed. The transmission time, low distortion reconstructed image and low complexity are most concerned in this paper. In the case of medical data transmission,…

Information Theory · Computer Science 2009-12-22 P. Jagatheeswari , M. Rajaram

Iris segmentation and localization in non-cooperative environment is challenging due to illumination variations, long distances, moving subjects and limited user cooperation, etc. Traditional methods often suffer from poor performance when…

Computer Vision and Pattern Recognition · Computer Science 2019-06-20 Caiyong Wang , Yuhao Zhu , Yunfan Liu , Ran He , Zhenan Sun

This study is focused on enhancing the Haar Cascade Algorithm to decrease the false positive and false negative rate in face matching and face detection to increase the accuracy rate even under challenging conditions. The face recognition…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Clarence A. Antipona , Romeo R. Magsino , Raymund M. Dioses , Khatalyn E. Mata

A powerful way to adapt a visual recognition model to a new domain is through image translation. However, common image translation approaches only focus on generating data from the same distribution as the target domain. Given a cross-modal…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Heitor Rapela Medeiros , Fidel A. Guerrero Pena , Masih Aminbeidokhti , Thomas Dubail , Eric Granger , Marco Pedersoli

Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical biometrics are used, as…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Francesco Zola , Jose Alvaro Fernandez-Carrasco , Jan Lukas Bruse , Mikel Galar , Zeno Geradts

This paper presents a robust method to monitor heart rate (HR) from BCG (Ballistocardiography) signal, which is acquired from the sensor embedded in a chair or a mattress. The proposed algorithm addresses the shortfalls in traditional Fast…

Signal Processing · Electrical Eng. & Systems 2018-09-11 Qingsong Xie , Guoxing Wang , Yong Lian