Volume 9, Issue 1 (2023)

Table of contents

• Published Subscription 14 Jun 2023

  NLP in Sign Language Recognition Boon for Dumb People

  By Brijkishor Soni, Harsh Kumar Jarwal, Alankrita Agrawal

  Abstract: In order to help and provide facility to the persons who have vocal and hearing problems to communicate, this study provides a design innovative system. It discusses an improving technique for speech-to-sign translation and sign language recognition. The created method uses skin colour segmentation to extract indications from video sequences with a dynamic and minimally crowded background. It separates out the relevant feature vectors from dynamic movements and gives room …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article →

• Published Subscription 5 Jul 2023

  Crop Disease Classification and Detection Using Deep Learning Approach

  By Prajakta Jadhav, Prathmesh Sadake, Sakshi Thombare, Chenna Reddy Annapu Reddy

  Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article →

• Published Subscription 5 Jul 2023

  Criminal Face Identification Using Deep Learning and Machine Learning

  By Rahul Samant, Nidhi Jain, Shubham Rakhunde, Abhijeet Dhanve, Tanay Mahajan

  Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article →

• Published Subscription 5 Jul 2023

  Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification

  By Jyoti Dabass, Manju Dabass

  Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article →

• Published Subscription 22 Jun 2023

  Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework

  By Aarzoo Patwa, Ashish Kumar Khare, Vinod Patel

  Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article →