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Deep-TDRS: An Integrated System for Handwritten Text Detection-Recognition and Conversion to Speech Using Deep Learning
Development of complete OCR for handwritten document (HOCR) is a challenging task due to a wide variation in writing styles, cursiveness, and...
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DATE: a video dataset and benchmark for dynamic hand gesture recognition
This paper proposes a new Dynamic hAnd gesTurE (DATE) dataset for dynamic hand gestures. The DATE dataset contains 13,500 videos of 22 different...
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Augmented Reality-Enabled Education for Middle Schools
Augmented reality acts as an add-on to teachers while teaching students, and this helps the teachers and students to have an interactive session....
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A new occluded face recognition framework with combination of both Deocclusion and feature filtering methods
Face recognition plays the significant role in many human-computer interaction decvices and applications, whose access control systems are based on...
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A Survey: The State-of-the-Art Development of B-Learning Services
Blended learning in recent years has received intensive attentions in education, which combines the traditional offline teaching and emerging online...
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A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
Sign languages has extensive applications among differently-abled to communicate with their surroundings. With the development of different sensing...
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GCA-Net: Gait contour automatic segmentation model for video gait recognition
Gait recognition from videos is a very important task for surveillance video analysis. Although a number of studies have explored gait recognition...
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A systematic review on handwritten document analysis and recognition
Document Analysis and Recognition (DAR) is ongoing research that has been studied extensively for many decades and it has achieved a substantial...
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Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical...
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Face Recognition in the Wild for Secure Authentication with Open Set Approach
In everyday life, authentication is an indispensable process of human activities. Bio-metric authentication system is one of the effective solutions,...
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Investigating of nodes and personal authentications utilizing multimodal biometrics for medical application of WBANs security
The authentication of the Wireless Body Area Networks (WBANs) nodes is a vital factor in its medical applications. This paper, investigates methods...
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A deep learning approach to building an intelligent video surveillance system
Recent advances in the field of object detection and face recognition have made it possible to develop practical video surveillance systems with...
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Dynamic features based stroke recognition system for signboard images of Gurmukhi text
The computation of correct features is an essential phase for efficient data representation and benchmarked accuracy in text recognition systems. The...
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Automated Transcription for Pre-modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Training
Recognizing the full-page of Japanese historical documents is a challenging problem due to the complex layout/background and difficulty of writing...
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Identification of Diseases and Pests in Tomato Plants Through Artificial Vision
The extraction of characteristics, currently, plays an important role, likewise, it is considered a complex task, allowing to obtain essential...
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RETRACTED ARTICLE: Automatic epilepsy detection using hybrid decomposition with multi class support vector method
The epilepsy has been detected from the electroencephalogram (EEG) by utilizing the complex wavelet transform with support vector machine. These...
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Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model Without Manual Annotation
The advances over the past several years have pushed the performance of face recognition to an amazing level. This great success, to a large extent,...
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Online handwriting recognition systems for Indic and non-Indic scripts: a review
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and machine learning. Handwriting recognition has two...
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Frequency-hop** transmitter fingerprint feature recognition with kernel projection and joint representation
Frequency-hop** (FH) is one of the commonly used spread spectrum techniques that finds wide applications in communications and radar systems...
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A Short Review of Recent ELM Applications
Extreme Learning Machine has enjoyed an explosive growth in the last years. Starting from a “simple” idea of replacing the slow backpropagation...