A Robust and Fast Text Extraction in Images and Video Frames

Kumar, Anubhav; Kaushik, Awanish Kr.; Yadav, Rajeev; Anuradha, .

doi:10.1007/978-3-642-18440-6_43

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…The study outcome was tested using 5 different video dataset. Kumar et al [55] have developed a technique which perform faster extraction of text from the video, which is potentially important to develop a design of video analytics. Saligrama et al [56] have presented a statistical approach for identification of video anomaly.…”

Section: Existing Techniques Of Vamentioning

confidence: 99%

Insights to Video Analytic Modelling Approach with Future Line of Research

Chandra¹,

Reddy²

2016

IJCA

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The area of Video analytics has made some significant improvement due to advancement in image processing and datamining techniques. However, the inclination is still towards image contents and less to mined contents owing to many unsolved issues. Although concept of mining is more than 2 decade old, but mining approaches are yet to be standardized in the area of video surveillance system. With evolution of newer set of challenges in video capturing, existing mining models finds itself less applicable due to unstructured format of dynamic frames. Hence, this paper discusses about video analytics and presents a brief discussion of frequently used mining approaches in video as well as discussed some recent studies in this direction in order to scale the degree of effectiveness in existing system. The paper also presents research gap and provided solution as future line of research as a possible way to overcome the research gap.

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Section: Existing Techniques Of Vamentioning

confidence: 99%

Insights to Video Analytic Modelling Approach with Future Line of Research

Chandra¹,

Reddy²

2016

IJCA

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“…NC00094221 belongs to the diaminoquinazoline family of compounds. 22 A potent inhibitor containing a quinazoline ring was identified. This compound was active against the wild-type laboratory strain H37Rv (MIC (99) = 207 µM).…”

Section: As Antituberculosis Agentmentioning

confidence: 99%

Untitled

2013

IJPSR

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Dihydrofolate reductase (DHFR) was discovered in the late 1950s by investigators searching for folate-dependent enzymes involved in 1-carbon metabolism, with its already known application as anti-cancer and as antibiotics. This study focuses on structure of Dihydrofolate, its interaction with specific amino acids, mechanism of DHFR catalysis. The reason of study was to focus on compounds which can inhibit DHFR and has applications as antifungal agents, antimalarial agents, ant tuberculosis agents, for Leishmaniasis and Trypanosomiasis treatment. Also, to find out the reason of resistance to antifolates and ways to overcome them, recent drugs under each class of agents and drugs under clinical trials. INTRODUCTION: Sidney Futterman fractionated a chicken liver extract and obtained a preparation that catalyzed the reduction of both folate and DHF to THF in 1944. He also found that Methotrexate and Aminopterin, another anticancer drug, inhibited both of these processes. In 1988 Hitchings, Elion and Black were honoured with Nobel Prize in physiology in medicine for selective binding of Trimethoprim and other pharmaceuticals to target dihydrofolate 1. However molecular nature of selectivity still not understood in spite of fact that DHFR is the most thoroughly and comprehensively studied enzymes most fundamental mechanism of functioning of DHFR and its nature of interactions with the inhibitors need to be understood 1. DHFR is found ubiquitously in all dividing cells of prokaryotes and eukaryotes.

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“…A focus of line detection mask based system for text region localization has been proposed by Liu et al [7]. A. Kumar et al [8], [9] proposed a line detection mask based text extraction in images and video frames. Edge based methods based on detection masks and localized image using heuristics filtering with OCR recognition.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Text Extraction in Images and Video Frames Using Gabor Filter

Kumar¹

2014

IJCEE

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Abstract-In this paper, an effective methodology for text extraction images and video frames using Gabor filter is proposed. The proposed approach is completed by Gabor Filter, morphological and Heuristic filtering process methods is used to localize the text region better. The proposed technique is completed by text extraction utilizing Gabor filter method which is utilized for text identification within complex images and video frames. Diverse experiments were led to assess the execution of the proposed calculation and algorithm and compare with other methods. Experimental results tested from a large dataset and demonstrated that the proposed method is effective and practical. Various parameters like a precision and recall rates are analyzed for both existing and proposed method to determine the success and limitation of our method. Experiment results show that our method can obtain 99.11 % recall rate and precision rate 94.67 % with average computational time 5.28 second /frames.

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A Robust and Fast Text Extraction in Images and Video Frames

Cited by 7 publications

References 4 publications

Insights to Video Analytic Modelling Approach with Future Line of Research

Insights to Video Analytic Modelling Approach with Future Line of Research

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An Efficient Approach for Text Extraction in Images and Video Frames Using Gabor Filter

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