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115 articles for “Text Recognition”
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Smart Electronic Real Time Text Recognition Application
Abstract: AbstractThe area of application of optical character recognition has been expanded in the last few years. There are many techniques which exist and provide high recognition rate, but it consumes time in training the network. Various mobile applications have been designed for optical character recognition (OCR) in Android platform and iOS platform. The limitation of such application is computation ability of mobile processor. This paper proposes a framework of optical …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 1–7 Read article
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Text Recognition System: A Review
Abstract: Text recognition is a crucial problem in the meticulousness of digital image processing since so many historical documents now in existence are in the form of paper records. Similar textbook recognition systems are primarily concerned with transubstantiating textual records from physical copies to records that are familiar to the system, making it simpler to retain them in databases or other real-world settings. This work illustrates how image-processing technologies may be …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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Text Recognition and Detection of Handwritten Reports Through Image Processing
Abstract: Nowadays, the biggest problem we are facing is text detection from the scene images, handwritten documents, and various other images at different resolutions. To overcome such problems, we are using artificial intelligence tools and techniques which make use of neural networks to detect the text from the images. In this work, we proposed new solutions to this problem by introducing Artificial Neural Network Techniques which have proven best for text …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
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Hybrid HMM/ANN Models for Improving Offline Handwritten Text Recognition
Abstract: AbstractIn this approach, it proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing the unconstrained offline handwritten texts. Handwritten image normalization from a scanned image includes several steps, usually it begin with image cleaning, page skew correction, and line detection. For handwritten text line image several pre-processing steps to reduce variation in writing style are performed like slope and slant removal and character size …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 16–23 Read article
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Optical/Handwritten Data Recognition
Abstract: For many years, optical character recognition (OCR) has been a hot topic. It's the process of breaking down a document image into its individual characters. Despite decades of intensive research, producing OCR with human-like skills is still a work in progress. The industries have long used localization and recognition of written characters for a number of applications. When working in a sterile environment, such as scanners or static settings, most …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 22–31 Read article
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A Robust and Real Time Approach for Scene Text Localization and Recognition in Image Processing
Abstract: The text localization and recognition in real-time scene text images is still a big issue in current applications. Mobile application and digitization in real world gives a vital and broad impact on real-time scene text images. However, the efficiency of recognition rate depends upon the text localization, i.e., higher the purity of text background segmentation and decomposition, higher the rate of accuracy for the image recognition. In this paper is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Importance of Voice Assistant in Real World
Abstract: Jarvis is a voice assistant for your computer. Main aim of this study is to develop personal assistant for real world applications. It has been designed to give a user-friendly interface for carrying out a variety of tasks by employing certain well-defined commands. It is a software program that helps the users to ease their day-to-day tasks. We can do all the tasks through voice command only and there is …
Published in Recent Trends in Programming languages · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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Desktop Assistant Using Remote Technology
Abstract: Today in this modern world where technology is used everywhere, continuous huge advancements are being made in this and other related fields. The innovations and improvements being made are increasing day by day and advancements being made in technology over time have been immeasurable, and due to this, everyday life has become smarter and more sophisticated than it was before. A Personal Virtual Assistant enables users to interact with technology …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 1, 2023 · pp. 26–30 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Abstract: Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
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Survey Paper on Multilingual Live Call Translation Using Deep Learning
Abstract: This research work surveys cutting-edge language translation technologies, including multi-lingual, real-time translation, voice recognition, speech-to-text conversion, and transcription in the hearing process. The study explores the complex mechanisms behind voice call language translation, focusing on sophisticated machine learning models integrated with cloud-based or local applications to facilitate seamless communication across language barriers. Furthermore, conducting research in live communication analyzes the complexity of text and voice techniques to deliver translated content …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 13–21 Read article
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Voice Control Music System Using Raspberry Pi
Abstract: This paper presents a voice-controlled music system using Raspberry Pi, designed for hands-free music playback through voice commands. The system is implemented using Raspberry Pi 4B, a microphone, a speaker, and a 32GB SD card. The software is developed in Python using Thonny IDE, leveraging libraries such as SpeechRecognition, PyAudio, and gTTS for speech processing and audio playback. The system recognizes user commands like play, pause, next, and stop, converting …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 34–39 Read article
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AI based Assistive glasses for visually impaired persons
Abstract: There been a lot of change in tools for assisting visually impaired persons from simple analog tools to digital sensor-based devices. In this paper we have designed an AI- based smart assistive glass which can detect objects, read text their nature, distance and give feedback through audio output in real time. This system stores visual data and with use of object recognition it analyzes surroundings.Besides,VL53L0X TOF mea- sures accurate distance …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 22–29 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Empowering Accessibility: A Review of Text-to-Speech Systems for the Visually Impaired with Raspberry Pi
Abstract: The automatic text reader for people who are blind is presented in the paper. built on a Raspberry Pi. It makes use of computer programming and image sensing tools to identify printed characters employing optical character recognition technology. It creates machine-encoded text from an image using text that has been printed, typed, or written by hand. In the present work, text-to-speech synthesis and OCR are used to convert the image …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 16–21 Read article
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Recognition of Unconstrained Handwritten Digits Using Feedforward MLP and Projection Profile
Abstract: AbstractThis paper presents a new approach to off-line handwritten numeral recognition using feedforward MLP and projection profile. Different writers have variations in their handwriting since each writer possesses own writing speed, own styles, sizes or positions for numeral or text. Recognition of handwritten numerals poses serious problems because of high variability in numeral shapes written by individuals. The performance of character recognition system depends heavily on what kind of features …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 2, 2015 · pp. 15–20 Read article