Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315633
T. Sarala, Shivashankar, M. Poornima, H. D. Lekhana
One of the basic needs of today’s life is electric power. A large amount of electrical power is needed for various maneuvers. Demand on energy has been adopted throughout the world, and traditional methods of generating power have a direct impact on environment. The Shortage of electricity is the big problem for industrial growth as well as rural development. Shortage of electricity has its effects on India’s development and growth, to solve such types of problem development of strong electricity generating techniques with the help of human energy for our better future, which has been unused from million years. Producing electricity in a conventional method impacts the environment. So, by using non-conventional method to produce electricity by utilizing the waste energy generated during pressure applied while walking through piezoelectric tile. The electricity produced is stored in lead acid battery. This stored electricity is used to switch on the street lights automatically during night using Light Dependent Resistor (LDR) sensor and the status of the street light and voltage is displayed on the Liquid Crystal Display (LCD).
{"title":"Generation And Utilization Of Electricity Using Footsteps As A Source Of Energy","authors":"T. Sarala, Shivashankar, M. Poornima, H. D. Lekhana","doi":"10.1109/RTEICT49044.2020.9315633","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315633","url":null,"abstract":"One of the basic needs of today’s life is electric power. A large amount of electrical power is needed for various maneuvers. Demand on energy has been adopted throughout the world, and traditional methods of generating power have a direct impact on environment. The Shortage of electricity is the big problem for industrial growth as well as rural development. Shortage of electricity has its effects on India’s development and growth, to solve such types of problem development of strong electricity generating techniques with the help of human energy for our better future, which has been unused from million years. Producing electricity in a conventional method impacts the environment. So, by using non-conventional method to produce electricity by utilizing the waste energy generated during pressure applied while walking through piezoelectric tile. The electricity produced is stored in lead acid battery. This stored electricity is used to switch on the street lights automatically during night using Light Dependent Resistor (LDR) sensor and the status of the street light and voltage is displayed on the Liquid Crystal Display (LCD).","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127619484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315670
P. Rajendra Prasad, J. Avinash, G. Arjun Kumar, G. Poornima, S. Santosh Kumar, K. S. Sunil Kumar
Quality of water may be an advanced exploration and production fundamental concept. The water quality is based on so many factors. Water infection is surely one of the essential crucial fears for the green globalization. With a view to deliver safe and secure water, real-time quality has to be monitored. The current system comprises a sensor network which is utilized to gauge both physical and synthetic boundaries of the water that are temperature, PH, turbidity, water glide sensor can be measured. These measured values from the sensors are processed via the Arduino UNO controller. Finally, the sensor values may be regarded using Wi-Fi module. This paper presents a cost efficient system for real time quality monitoring using Internet of Things (IoT).
{"title":"IoT based Smart Water Quality Monitoring and Flow Control System","authors":"P. Rajendra Prasad, J. Avinash, G. Arjun Kumar, G. Poornima, S. Santosh Kumar, K. S. Sunil Kumar","doi":"10.1109/RTEICT49044.2020.9315670","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315670","url":null,"abstract":"Quality of water may be an advanced exploration and production fundamental concept. The water quality is based on so many factors. Water infection is surely one of the essential crucial fears for the green globalization. With a view to deliver safe and secure water, real-time quality has to be monitored. The current system comprises a sensor network which is utilized to gauge both physical and synthetic boundaries of the water that are temperature, PH, turbidity, water glide sensor can be measured. These measured values from the sensors are processed via the Arduino UNO controller. Finally, the sensor values may be regarded using Wi-Fi module. This paper presents a cost efficient system for real time quality monitoring using Internet of Things (IoT).","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"30 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122595695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315552
J. J. Jijesh, S. Palle, Dileep Reddy Bolla, Mahaveer Penna, V. Sruthi, G. Alla
Fire environments are dangerous and constantly changing. Although fire fighting is an extremely hard task, it is still carried by human operations to rescue and protect the victims. In order to help people; machine tools the robotic architecture has become extremely important. Fire protection robot is therefore intended to assist individuals using autonomous system in any damaging burned situation. The use of various sensors like ultrasonic, fire, smoke and motion sensor increases the robot capabilities. The gripper is mounted onto the robot to clear the obstacles on the way of the victims. The use of IP camera improvised the robot functionality by providing bi-directional communication between the controlling area and the burnt area. The robot is further improvised using BLYNK application which is linked to the microcontroller ESP32 via Wi-Fi SoC to provode alert message to the person on duty and to the residents.
{"title":"Design and Implementation of Automated Fire Fighting and Rescuing Robot","authors":"J. J. Jijesh, S. Palle, Dileep Reddy Bolla, Mahaveer Penna, V. Sruthi, G. Alla","doi":"10.1109/RTEICT49044.2020.9315552","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315552","url":null,"abstract":"Fire environments are dangerous and constantly changing. Although fire fighting is an extremely hard task, it is still carried by human operations to rescue and protect the victims. In order to help people; machine tools the robotic architecture has become extremely important. Fire protection robot is therefore intended to assist individuals using autonomous system in any damaging burned situation. The use of various sensors like ultrasonic, fire, smoke and motion sensor increases the robot capabilities. The gripper is mounted onto the robot to clear the obstacles on the way of the victims. The use of IP camera improvised the robot functionality by providing bi-directional communication between the controlling area and the burnt area. The robot is further improvised using BLYNK application which is linked to the microcontroller ESP32 via Wi-Fi SoC to provode alert message to the person on duty and to the residents.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122912445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the ongoing COVID-19 pandemic, businesses and organizations have acclimated to unconventional and different working ways and patterns, like working from home, working with limited employees at office premises. With the new normal here to stay for the recent future, employees have also adapted to different working environments and customs, which has also resulted in psychological stress and lethargy for many, as they adapt to the new normal and adjust their personal and professional lives. In this work, data visualization techniques and machine learning algorithms have been used to predict employees stress levels. Based on data, we can develop a model that will assist to predict if an employee is likely to be under stress or not. Here, the XGB classifier is used for the prediction process and the results are presented showing that the method facilitates getting a more reliable model performance. After performing interpretation utilizing XGB classifier it is determined that working hours, workload, age, and, role ambiguity have a significant and negative influence on employee performance. The additional factors do not hold much significance when associated to the above discussed. Therefore, It is concluded that concluded that increasing working hours, role ambiguity, the workload would diminish employee representation in all perspectives.
{"title":"Predicting Employees under Stress for Pre-emptive Remediation using Machine learning Algorithm","authors":"Anusha Garlapati, Doredla Radha Krishna, Kavya Garlapati, Gayathri Narayanan","doi":"10.1109/RTEICT49044.2020.9315726","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315726","url":null,"abstract":"With the ongoing COVID-19 pandemic, businesses and organizations have acclimated to unconventional and different working ways and patterns, like working from home, working with limited employees at office premises. With the new normal here to stay for the recent future, employees have also adapted to different working environments and customs, which has also resulted in psychological stress and lethargy for many, as they adapt to the new normal and adjust their personal and professional lives. In this work, data visualization techniques and machine learning algorithms have been used to predict employees stress levels. Based on data, we can develop a model that will assist to predict if an employee is likely to be under stress or not. Here, the XGB classifier is used for the prediction process and the results are presented showing that the method facilitates getting a more reliable model performance. After performing interpretation utilizing XGB classifier it is determined that working hours, workload, age, and, role ambiguity have a significant and negative influence on employee performance. The additional factors do not hold much significance when associated to the above discussed. Therefore, It is concluded that concluded that increasing working hours, role ambiguity, the workload would diminish employee representation in all perspectives.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121672490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315591
R. Anjali
Security of vehicle has become a necessary component at all places in the society. In addition due to faster development in technology, resource utilization and crisis management also plays a major role. A secured and automated vehicle surveillance system is a project that incorporate the concepts of image processing and Internet of Things (IoT) to provide security for the vehicle by integrating it with face recognition system and messaging system as an added feature. Vehicle enhancement is equipped with automation of vehicle headlight based on the surrounding brightness and controlling the over speed of vehicle based on the speedometer reading. Realization of this system will be a step forward in refinement of the society towards better socio-economic by utilization of resource on automating headlight and ethical prosperity by preventing thefts and accidents.
{"title":"A secured and automated Vehicle Surveillance System","authors":"R. Anjali","doi":"10.1109/RTEICT49044.2020.9315591","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315591","url":null,"abstract":"Security of vehicle has become a necessary component at all places in the society. In addition due to faster development in technology, resource utilization and crisis management also plays a major role. A secured and automated vehicle surveillance system is a project that incorporate the concepts of image processing and Internet of Things (IoT) to provide security for the vehicle by integrating it with face recognition system and messaging system as an added feature. Vehicle enhancement is equipped with automation of vehicle headlight based on the surrounding brightness and controlling the over speed of vehicle based on the speedometer reading. Realization of this system will be a step forward in refinement of the society towards better socio-economic by utilization of resource on automating headlight and ethical prosperity by preventing thefts and accidents.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115485271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315565
Satyasrikanth Palle, J. J. Jijesh, Dileep Reddy Bolla, Mahaveer Penna, P. V. Sruthi, G. Alla
The presented methodology is to monitor endlessly cracks in tracks, obstacles on rail tracks and any other train running on the same track oppositely by using sensors. When identified, the device will send an alert to the driver to prevent the accidents. The flame sensor detects it and sends a signal to the microcontroller and driver when the train compartment catches fire, then triggers the servo motor to disconnect the compartments. With the help of this paper we try to overcome few of the issues in railways as well as modernize the compartment.
{"title":"Modernized Compartment With Safety Measures in Railways","authors":"Satyasrikanth Palle, J. J. Jijesh, Dileep Reddy Bolla, Mahaveer Penna, P. V. Sruthi, G. Alla","doi":"10.1109/RTEICT49044.2020.9315565","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315565","url":null,"abstract":"The presented methodology is to monitor endlessly cracks in tracks, obstacles on rail tracks and any other train running on the same track oppositely by using sensors. When identified, the device will send an alert to the driver to prevent the accidents. The flame sensor detects it and sends a signal to the microcontroller and driver when the train compartment catches fire, then triggers the servo motor to disconnect the compartments. With the help of this paper we try to overcome few of the issues in railways as well as modernize the compartment.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315556
Shiva Shankar, J. J. Jijesh, Dileep Reddy Bolla, Mahaveer Penna, P. V. Sruthi, A. Gowthami
Climatic changes have an adverse effect on certain factors of nature like temperature, humidity, rainfall etc. Also, because of convective activity, there is more rainfall in certain areas during monsoon seasons which might flood the areas near rivers or dam. Another reason for flood is cyclone. While cyclones appear to be natural calamities, they are in essence required by nature to maintain the balance of temperature. It is when the oceans become warm that cyclones form to cool them down. Our activities which are distorting the balance of nature, we can expect more inclement weather, stronger storms to form. Climate change is real and must seriously paid attention to. In the end, it is all about balance and our relationship with nature. This paper deals with proactive measures taken to not be affected by flood and hence give precaution to common man. Updates about the current weather and different parameters that are related to water is continuously monitored. This paper also incorporates communication of the information collected effectively by using ESP32 microcontroller, GSM and IoT (Blynk).
{"title":"Early Detection of Flood Monitoring and Alerting System to Save Human Lives","authors":"Shiva Shankar, J. J. Jijesh, Dileep Reddy Bolla, Mahaveer Penna, P. V. Sruthi, A. Gowthami","doi":"10.1109/RTEICT49044.2020.9315556","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315556","url":null,"abstract":"Climatic changes have an adverse effect on certain factors of nature like temperature, humidity, rainfall etc. Also, because of convective activity, there is more rainfall in certain areas during monsoon seasons which might flood the areas near rivers or dam. Another reason for flood is cyclone. While cyclones appear to be natural calamities, they are in essence required by nature to maintain the balance of temperature. It is when the oceans become warm that cyclones form to cool them down. Our activities which are distorting the balance of nature, we can expect more inclement weather, stronger storms to form. Climate change is real and must seriously paid attention to. In the end, it is all about balance and our relationship with nature. This paper deals with proactive measures taken to not be affected by flood and hence give precaution to common man. Updates about the current weather and different parameters that are related to water is continuously monitored. This paper also incorporates communication of the information collected effectively by using ESP32 microcontroller, GSM and IoT (Blynk).","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315557
Umesharaddy Radder, S. Shivaprasad Yadav, B. Sujatha, Anusha Hiremath
Proposed work carries out the study of the Pre-coder and basic Transmitter – Receiver model. Transmitter and Receiver Simulink model is developed by estimating and equalizing channel. With this channel state information (CSI) Pre-coder is developed. Additive White Gaussian Noise (AWGN) channel is implemented in Simulink. Transmitter – Receiver model is built for simulation and performance evaluation. Suitable channel estimation and equalization algorithms are used for simulation. QPSK modulation is used, similarly demodulation techniques are used at the receiver. For different Signal to Noise Ratio (SNR) values Bit Error Rate (BER) is plotted. Least Square (LS) estimation and Zero Forcing (ZF) equalization algorithm for MIMO is implemented in Simulink.
{"title":"Design and Development of Precoding Algorithm","authors":"Umesharaddy Radder, S. Shivaprasad Yadav, B. Sujatha, Anusha Hiremath","doi":"10.1109/RTEICT49044.2020.9315557","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315557","url":null,"abstract":"Proposed work carries out the study of the Pre-coder and basic Transmitter – Receiver model. Transmitter and Receiver Simulink model is developed by estimating and equalizing channel. With this channel state information (CSI) Pre-coder is developed. Additive White Gaussian Noise (AWGN) channel is implemented in Simulink. Transmitter – Receiver model is built for simulation and performance evaluation. Suitable channel estimation and equalization algorithms are used for simulation. QPSK modulation is used, similarly demodulation techniques are used at the receiver. For different Signal to Noise Ratio (SNR) values Bit Error Rate (BER) is plotted. Least Square (LS) estimation and Zero Forcing (ZF) equalization algorithm for MIMO is implemented in Simulink.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130892721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315708
B. S. T. Reddy, K. Reddy, K. Deepa, K. Sireesha
Energy extraction from renewable sources and its utilization in Electric Vehicles (EVs) have paved the way for greener transportation options. Battery charging is the present-day challenge in EVs. Constant Current (CC) and Constant Voltage (CV) charging methods have many advantages over other EV battery charging techniques. A fuel cell, being one of the ways of producing DC energy, can be directly used to charge batteries in EVs. With the fuel cell being the DC source, the on-board fast charging can be easily achieved by various power converters, but the Single-Ended Primary Inductor Converter (SEPIC) would serve most efficiently for the aforementioned scenario. In CC method, battery may overcharged if battery reaches full charge mode as current is constant and similarly in CV method in initial stages current drawn by battery is high which may cause temperature to rise to undesired values. To overcome these disadvantages the CC-CV charging can be switched according to the requirements using automated Fuzzy Logic Controller (FLC). The CC-CV charging of the EV battery using SEPIC with the help of a fuel cell through FLC has been proposed and simulated using MATLAB/Simulink software, and the results have been discussed.
{"title":"A FLC based Automated CC-CV Charging through SEPIC for EV using Fuel Cell","authors":"B. S. T. Reddy, K. Reddy, K. Deepa, K. Sireesha","doi":"10.1109/RTEICT49044.2020.9315708","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315708","url":null,"abstract":"Energy extraction from renewable sources and its utilization in Electric Vehicles (EVs) have paved the way for greener transportation options. Battery charging is the present-day challenge in EVs. Constant Current (CC) and Constant Voltage (CV) charging methods have many advantages over other EV battery charging techniques. A fuel cell, being one of the ways of producing DC energy, can be directly used to charge batteries in EVs. With the fuel cell being the DC source, the on-board fast charging can be easily achieved by various power converters, but the Single-Ended Primary Inductor Converter (SEPIC) would serve most efficiently for the aforementioned scenario. In CC method, battery may overcharged if battery reaches full charge mode as current is constant and similarly in CV method in initial stages current drawn by battery is high which may cause temperature to rise to undesired values. To overcome these disadvantages the CC-CV charging can be switched according to the requirements using automated Fuzzy Logic Controller (FLC). The CC-CV charging of the EV battery using SEPIC with the help of a fuel cell through FLC has been proposed and simulated using MATLAB/Simulink software, and the results have been discussed.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132625586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315679
A. Nikitha, J. Geetha, D. S. Jayalakshmi
There are many researchers working on handwritten text recognition (HTR) and also contributing to HTR domain. Even though many research methods are existing for HTR, there is a need for some more improvements in the accuracy of the HTR systems. This paper is a contribution of the application of the Deep Learning algorithm for the HTR system. In this paper first we will collect the data for training the handwritten texts, later features have been extracted from those text datasets and perform training of the model using Deep Learning approach. In this work we are going to use the strategy to recognize in terms of words rather those characters so that accuracy will be improved. The built model using LSTM deep model achieves a very good accuracy. Lastly, this developed approach of the HTR system is integrated into the OCR system and comparison of results are reported in this paper. Two approaches have been compared in this paper on IAM handwritten data set, and found that 2DLSTM based approach outperforms the other approach.
{"title":"Handwritten Text Recognition using Deep Learning","authors":"A. Nikitha, J. Geetha, D. S. Jayalakshmi","doi":"10.1109/RTEICT49044.2020.9315679","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315679","url":null,"abstract":"There are many researchers working on handwritten text recognition (HTR) and also contributing to HTR domain. Even though many research methods are existing for HTR, there is a need for some more improvements in the accuracy of the HTR systems. This paper is a contribution of the application of the Deep Learning algorithm for the HTR system. In this paper first we will collect the data for training the handwritten texts, later features have been extracted from those text datasets and perform training of the model using Deep Learning approach. In this work we are going to use the strategy to recognize in terms of words rather those characters so that accuracy will be improved. The built model using LSTM deep model achieves a very good accuracy. Lastly, this developed approach of the HTR system is integrated into the OCR system and comparison of results are reported in this paper. Two approaches have been compared in this paper on IAM handwritten data set, and found that 2DLSTM based approach outperforms the other approach.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134448338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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