Offline Handwritten Gurmukhi Character Recognition: A Review

Kumar, Neeraj; Gupta, Sheifali

doi:10.14257/ijseia.2016.10.5.08

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…Devanagari and Gurumukhi both are widely used languages in India having multiple constraints in text recognition. Previously, few review paper are published for handwritten text recognition in Devanagari or Gurumukhi (15)(16)(17)(18). The present review contains a survey on text recognition in both languages (Devanagari and Gurumukhi).…”

Section: Machine Learning In Ocr For Indic Scriptsmentioning

confidence: 99%

Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts

Singh¹,

Gupta²,

Garg³

2022

ECS Trans.

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Machine learning is a common application of artificial intelligence, which gives machines the ability to learn from data automatically and improve with experience without being explicitly programmed. Supervised learning is one of two broad areas of machine learning that deal with the task of learning a function for a current model based on past data training on input-output pairs of examples. This function enables the model to predict future outcomes for new inputs. Regression and classification are two supervised machine learning problems. Classification is the most common task that intelligent systems perform most often. This review describes the classification algorithm’s working and its applications to optical character recognition in Indic script. Devanagari and Gurumukhi scripts are chosen for this attempt. The detailed study presented in this article will be helpful to researchers working in the field of optical character recognition to understand where to use which machine learning algorithm for best results.

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Section: Machine Learning In Ocr For Indic Scriptsmentioning

confidence: 99%

Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts

Singh¹,

Gupta²,

Garg³

2022

ECS Trans.

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“…al. [2] they have present a paper on Offline Handwritten Gurmukhi Character Recognition: A Review . this paper explained a concept Based on data acquirement process a concise classification of recognition .they define Various feature extraction techniques & classifiers like power arc fitting ,parabola arc fitting, ,diagonal feature extraction, transition feature extraction, K-NN classifier (K-nearest neighbor) & SVM classifier (Support vector machine) .The methodology for text recognition has also been discussed in this paper.…”

Section: IImentioning

confidence: 99%

“…A 2D Gabor is a Gaussian modulated sinusoid in the spatial domain and a shifted as a shifted Gaussian in the frequency domain [23]. It is represented by equations (2) and (3), it can also be shown in figure 8.a and 8.b.…”

Section: Fourier Transformmentioning

confidence: 99%

Feature Extraction Techniques for Text Recognition of Indian Scripts

Sinha¹

2019

IJRASET

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Several research works has been done by many researchers on Optical Character Recognition system. But various work has been done is on Greek, Chinese, English and Japanese characters. There has not been sufficient quality of work on text recognition of Indian languages like Bangla, Marathi, Malayalam, Telugu, Gujarati, Kannada, Gurumukhi and Oriya. The development of handwritten text recognition (HTR) is an interesting area in pattern recognition. In HTR, the set of features are very important in selecting the appropriate feature that produces little classification error. In this paper, we have presented a study on feature extraction and classification techniques used for character recognition of Indian scripts. In the fast moving world with the amazingly expanding technology, character recognitions play a ample role by providing more scope to perform research in OCR techniques.A considerable advancement in the work associated with the recognition of handwritten and printed text has been reported in last few years. From the last few decades offline handwritten text recognition has gained a lot of interest of researchers. It is well known that each individual people have some different writing style, so it is very difficult to identify or recognize the handwritten characters or numerals. Based on data gathering process a concise classification of recognition system has been discussed in this paper. Several feature extraction techniques & classifiers like, diagonal feature extraction, transition feature extraction, K-NN classifier (K-nearest neighbour) & SVM classifier (Support vector machine) are also illustrated in this paper. The methodology for word recognition has also been briefly explained in this paper.

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“…They are utilized as a part of sequential construction systems for auto creation or by NASA to move extensive questions in space. ARTIFICIAL INTELLIGENCE APPLICATIONS Machine learning calculations are generally utilized as a part of assortment of utilizations like advanced picture processing(image recognition) [5], enormous information analysis [4], Speech Recognition, Medical Diagnosis, Statistical Arbitrage, Learning Associations, Classification, Prediction and so forth. Artificial Intelligence will continue playing a bit by bit more critical part in the distinctive fields.…”

Section: IVmentioning

confidence: 99%

Enhanced Challenges and Applications of Artificial Intelligence

Jammula¹

2018

IJRASET

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In the coming future, smart machines will supplant the people in a few zones. AI artificial intelligence is the impersonation of human intelligence forms by machines, especially PC frameworks. These procedures involve learning, thinking and self-redress. Artificial Intelligence is turning into a popular field in software engineering since it has enhanced the human life in a considerable measure of zones. Artificial intelligence has altogether upgraded the execution of the assembling and administration frameworks over the most recent two decades. Concentrate in the territory of artificial intelligence has offered climb to the quickly rising technology known as master framework. Application territories of Artificial Intelligence is massively affecting distinctive fields of life as master framework is widely utilized nowadays to break the unpredictable issues in different zones, for example, science, engineering, business, solution and climate anticipating. The territories utilizing the technology of Artificial Intelligence have seen a lift in the quality and proficiency. This paper displays a blueprint of this technology and the application territories of this technology. Index Terms : Machine learning, Artificial Intelligence (AI). I. INTRODUCTIONArtificial intelligence has become the essential piece of human life and changing this life tremendously.AI has not by any means changed the way of life yet it likewise influenced an assortment of domains of life like instruction, wellbeing and security. Artificial Intelligence is helping individuals to get training, to drive wellbeing, to appreciate different recreations, to show signs of improvement solution and so on. Its different applications can be unmistakable in school and universities, healing facilities, transportation and houses. The technology head honchos, analysts, governments all are attempting to make Artificial Intelligence more helpful and functional in different domains of life. Huge organizations like Yahoo, Google spend a great deal to discover the new uses of Artificial Intelligence in order to enhance and offer administrations to individuals. AI has changed the way of life of individuals and the way they utilize technology. Artificial Intelligence can be felt in smart telephones, GPS, computer games and so forth. This article displays the certainties and uses of Artificial Intelligence said in different research articles and reports. It additionally expounds the progressions made by Artificial Intelligence in different domains of life. It is imperative to comprehend the importance of some terms before discussing the applications. Artificial Intelligence is the commotion of manufacturing machines clever since keen intends to work with understanding in the given condition. AI is the science of making smart PC projects and identified with errands of utilizing PCs to comprehend human considerations and choices. It is a subpart of software engineering which makes them shrewd and advanced. Artificial Intelligence is cooperating analysts additio...

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Offline Handwritten Gurmukhi Character Recognition: A Review

Cited by 13 publications

References 15 publications

Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts

Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts

Feature Extraction Techniques for Text Recognition of Indian Scripts

Enhanced Challenges and Applications of Artificial Intelligence

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