Traditional to transfer learning progression on scene text detection and recognition: a survey
Sign Up to like & getrecommendations! Published in 2022 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10091-3
Abstract: Many computer vision-based techniques utilize semantic information i.e. scene text present in a natural scene for image analysis. Subsequently, in recent times researchers pay more attention to key tasks such as scene text detection, recognition,… read more here.
Keywords: scene; scene text; detection recognition; text detection ... See more keywords
Invariant Features-Based Fuzzy Inference System for Animal Detection and Recognition Using Thermal Images
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-020-00907-9
Abstract: Human–Animal Conflict (HAC) is one of the primary threats to the continued survival of animal species and it has also impacted the lives of humans drastically. In this paper, we propose an efficient animal detection… read more here.
Keywords: thermal images; detection recognition; system; using thermal ... See more keywords
Optical face detection and recognition system on low-end-low-cost Xilinx Zynq SoC
Sign Up to like & getrecommendations! Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.164747
Abstract: Abstract Optical face detection and recognition system (FDRS) is widely used in modern biometric security systems. In this paper, we implement a new model of FDRS to identify human faces under different poses. Particularly, we… read more here.
Keywords: recognition system; detection recognition; vlc; recognition ... See more keywords
WP-DRnet: A novel wear particle detection and recognition network for automatic ferrograph image analysis
Sign Up to like & getrecommendations! Published in 2020 at "Tribology International"
DOI: 10.1016/j.triboint.2020.106379
Abstract: Abstract Ferrography plays an important role in wear analysis for machine condition monitoring, in which effective and efficient wear particle analysis is regarded as a crucial pre-requisite. An automatic wear particle detection and classification process… read more here.
Keywords: detection recognition; analysis; particle detection; particle ... See more keywords
Deep learning-based debris flow hazard detection and recognition system: a case study
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DOI: 10.1038/s41598-025-86471-4
Abstract: Debris flows are characterized by their suddenness, rapidity, large scale and destructive power, causing serious threat to the population in mountainous areas. Surveillance cameras are widely used in geological hazard monitoring and early warning projects.… read more here.
Keywords: debris flow; detection recognition; debris; hazard ... See more keywords
Accurate and Efficient LIF-Nets for 3D Detection and Recognition
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DOI: 10.1109/access.2020.2995886
Abstract: 3D object detection and recognition are crucial tasks for many spatiotemporal processing applications, such as computer-aided diagnosis and autonomous driving. Although prevalent 3D Convolution Nets (ConvNets) have continued to improve the accuracy and sensitivity, excessive… read more here.
Keywords: accurate efficient; nets detection; detection recognition; lif nets ... See more keywords
MorseNet: A Unified Neural Network for Morse Detection and Recognition in Spectrogram
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3020860
Abstract: Short-wave radio is an indispensable long-distance means of communication, among which Morse signals, which rely on simplicity and efficiency, plays an import role in military and civilian applications. Automatic Morse detection and recognition have been… read more here.
Keywords: morse; recognition; detection recognition; network ... See more keywords
Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031191
Abstract: Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect… read more here.
Keywords: traffic; high definition; detection recognition; detection ... See more keywords
A Robust Layout-Independent License Plate Detection and Recognition Model Based on Attention Method
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DOI: 10.1109/access.2022.3178192
Abstract: Auto License Plate Detection and Recognition (ALPDR) is required in many industrial fields, including visual surveillance systems and vehicle registration control. Even though this field has recently demonstrated high performance according to rapid advances in… read more here.
Keywords: recognition; detection recognition; layout; license ... See more keywords
A Novel Lung Nodule Detection and Recognition Model Based on Deep Learning
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DOI: 10.1109/access.2024.3478358
Abstract: To solve the problems of missing and false detection of pulmonary nodules in complex lung environments, as well as trivial and inefficient detection procedures, an end-to-end pulmonary nodules detection and recognition model based on deep… read more here.
Keywords: detection; model based; recognition model; model ... See more keywords
An Automated Academic Book Scanner with Deep Learning Powered Math Expression Detection and Recognition
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3638780
Abstract: Mathematical expressions are hard to read, which makes it hard to digitize printed STEM material. Conventional OCR methods do not work well on contents which comprise of text along with mathematical expressions. This paper proposes… read more here.
Keywords: expression; detection recognition; expression detection; book ... See more keywords