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8 articles for “offline handwriting”
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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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A Study on Offline Handwritten Character Recognition (OHCR) of Devanagari Script
Abstract: Handwritten Character Recognition (HCR) has been an interesting and challenging area for the researchers and plays an important role in the modern world. Devanagari script contains many Indian languages such as Hindi, Marathi, Rajasthani. All these languages are based on Devanagari script. In this paper, we give an overview on different classifiers (to get the idea of recognition results) and provide new benchmark for future research from the existing systems, …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 11–14 Read article
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Offline Handwritten Sanskrit Character Recognition System
Abstract: Despite technological improvements, computers still lag behind in language recognition. The majority of character recognition systems are incapable of reading cracked documents or handwritten characters or words. Sanskrit, an alphabetic script, is spoken by more than 100 million people worldwide. This study is about converting scanned handwriting images into text. This contains the steps below. The scanned image is initially segmented using a spatial space detection approach, after which the …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 32–37 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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A Survey Paper on Offline Signature Recognition with Various Techniques
Abstract: AbstractThe signature recognition (SR) and verification technique is used to appreciate and confirm character’s handwritten signature. Nowadays handwritten signature is among the most commonly permitted personal attributes for identification verification. Signature verification provides authorization in financial and business transaction. Signature verification finds its application within the area of internet banking, passport verification approach, provides authentication to candidates in public examination from their signatures, credit cards, bank cheques, etc. Due to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 19–29 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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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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Advanced Signature Verification Techniques: A Review
Abstract: There are various authentication techniques existing in these days to verify the originality of the owner’s identification, based on new technology and human computer interfaces like voice recognition and image processing like face detection methods to avoid the frauds. The popular noncomputer vision-based techniques like fingerprint authentication and passwords are most popular now, but what about the traditional method of the authenticity i.e., handwritten signature. In this era of technology …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 1–6 Read article