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Journal of Image Processing & Pattern Recognition Progress

joipprp | E-ISSN: 2394-1995 | Peer-Reviewed | Hybrid Open Access

About the Journal

Journal of Image Processing & Pattern Recognition Progress Journal of Image Processing & Pattern Recognition Progress [2394-1995(e)] is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Image Processing & Pattern Recognition.

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Journal of Image Processing & Pattern Recognition Progress (JOIPPRP): 2394-1995(e) is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of

Journal Information

Title:
Journal of Image Processing & Pattern Recognition Progress
Abbreviation:
JOIPPRP
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2394-1995
Publisher:
116314
DOI:
10.37591/JOIPPRP
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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joipprp maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Mr. Mohit Tiwari, Assistant professor

Bharati Vidyapeeth’s College of Engineering, Delhi, Delhi, India, 110063

Email :

Latest Articles

Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database

The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database.

Facial recognition attendance system, image processing, OpenCV, firebase realtime database, computer vision, attendance management.

Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)

The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness.

Mango Maturity Classification, Convolutional Neural Networks (CNN), ResNet-101, Precision Agriculture, Harvest Timing Optimization

SkinSight: Design and Implementation of an Intelligent Skin Type Detection System

Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs.

Skin type, haar cascade, CNN, dermatology, skinsight

Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm

Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems.

Face recognition, attendance system, local binary pattern histogram (LBPH), Haar cascade, automation

Automated Car License Plate Detection and Recognition Using Deep Learning

The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement.

Convolutional neural networks (CNN), plate detection, image processing, deep learning, optical character recognition (OCR)

Animal Species Prediction Using Deep Learning

In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts.

Animal species, deep learning, machine learning, convolutional neural networks (CNN), computer vision

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