Volume 9 | Issue 4 |

 Abstract

Now a day almost each and every application is secured with some authentication technique and one among them is finger print authentication which is present in each and every mobile devices. This fingerprint recognition and authentication comes under the field of pattern recognition. This pattern recognition is example of mobile devices which use sensors for authenticating the users. As we all know that in some situations these finger print authentication is not giving accurate results when compared with contact based to contact less. Hence this motivated me to design an application using CNN(Convolutional Neural Networks) for fingerprint recognition. By using CNN model, we can design the system very accurately for identifying and match both contactless and contact-based fingerprint images. In order to design this model we initially collect finger print dataset from NIST dataset, which contains more than 2400 finger prints, which paired into 1200 paired fingerprints. In this we try to collect both identical and non-identical images and then try to train the system with these images. Once the system is trained with these images we can able to test some sample images and find whether the CNN model is accurately identifying the images either contact based or contact less. Our experimental results clearly state that our method can give accuracy of more than 90 percent compared with primitive ML models.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning Algorithms, CNN Model, Finger Print Recognition, NIST Dataset, Authentication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In general there are lots of cultural and historical images which are present in the real world. All those ancient images are almost covered with some noise levels. There is no appropriate tool or software's for removing those cracks or noise in accurate manner without affecting the quality of those images. Hence in our current application we try to design a project which can guarantee remove the cracks which are present in the historical images and retain the originality without applying any morphing tools.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CRACK DETECTION AND PROTECTION OF CULTURAL HERITAGE IMAGES

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Iris acknowledgment is the way toward perceiving an individual by breaking down the clear example of their iris. There is a solid logical interest for the control of frameworks, ideas and calculations for iris acknowledgment and distinguishing proof. This is for the most part a result of the relatively brief timeframe that iris acknowledgment frameworks have been near. In contrast with face, unique mark and other biometric attributes there is as yet an incredible requirement for significant numerical and PC vision exploration and knowledge into iris acknowledgment. One proof for this is the all out absence of openly accessible sufficient datasets of iris pictures. The venture changes over a photograph of an eye to an 'unrolled' portrayal of the subject's iris and matches the eye to the operator's memory. On the off chance that a match is discovered, it yields a best match. The current usefulness coordinates that proposed in the first necessities

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Insight, Recognition, Adequate Datasets, Iris Images

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

SWAYAM is a programme initiated by Government of India and designed to achieve the three cardinal principles of Education Policy viz., access, equity and quality. The objective of this programme is to take the best teaching learning resources to all, including the most disadvantaged. It seeks to bridge the digital divide for students who have hitherto remained untouched by the digital revolution and have not been able to join the mainstream of the knowledge economy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self learning, Swayam, on line learning, MOOC,

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

भारतीय समाज व्यवस्था और अर्थव्यवस्था की संरचना और मजबूती में खेती-किसानी की अहम भूमिका के बावजूद इसे विडंबना ही कहा जाएगा कि आज़ाद भारत में कृषि एक उपेक्षित क्षेत्र रहा है और किसान एक उपेक्षित तबका. देश के सकल घरेलू उत्पाद (जीडीपी) में कृषि क्षेत्र की हिस्सेदारी चौदह फीसदी से अधिक है. राष्ट्रीय कृषि और ग्रामीण विकास बैंक (नाबार्ड) की एक रिपोर्ट के अनुसार, देश में 10.07 करोड़ परिवार खेती पर निर्भर हैं. यह संख्या देश के कुल परिवारों का 48 फीसदी है.1 देश की लगभग आधी आबादी के जीविकोपार्जन और करोड़ों लोगों को रोजगार उपलब्ध करने वाला कृषि क्षेत्र आजादी के 70 साल बाद भी बदहाली का शिकार है. बाढ़, सूखा, कर्ज के अतिरिक्त अच्छी फसल के बावजूद लाभकारी मूल्य न मिलने की वजह से जूझते किसान आत्महत्या, विस्थापन जैसी त्रासदी झेलने के लिए बाध्य है. ब्रिटिश काल में और उससे पूर्व ज्यादातर किसान किराये की जमीन पर खेती करते थे और उन्हें जमींदारी व्यवस्था की अमानुषिक चुनौतियों से जूझना पड़ता था. आजादी के बाद देश के विभिन्न इलाकों में ज़मींदारी खत्म होने के बाद पट्टे पर खेती करने वाले किसानों की जगह, भूमिहीन या भूस्वामित्व वाले किसानों का दर्जा मिला मगर किसान जीवन की त्रासदी की कहानी खत्म नहीं हुई. खेती के तौर तरीकों, तकनीक और फसलों के स्वरूप में अनेक बदलावों और उपज में बढ़ोत्तरी के बावजूद किसानों की हालत में दीर्घकालिक बुनियादी परिवर्तन नहीं आए अपितु उसके समक्ष नयी समस्याएँ, नयी चुनौतियाँ आती रही हैं. सिस्टम की बेपरवाही की वजह से समाज के लिए अन्नदाता कहलाने वाले किसान के जीवन में कठिनाइयों का प्रवेश अलग अलग रूपों में होता रहा है.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

हिंदी कहानी और किसान जीवन

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A STUDY OF VIABILITY OF CONTRACT FARMING AS A WAY FOR AMELIORATING AGRICULTURE IN INDIA

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A STUDY OF VIABILITY OF CONTRACT FARMING AS A WAY FOR AMELIORATING AGRICULTURE IN INDIA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mythology, Revisioning, Tribulations, Determination, Imagination, Interrogation.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Reconnaissance, information Gathering, Automation attack, End User, penetration testing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper we define r-regular n-edge hyper graph and introduce n- zagberg degree indices equation for r-regular n-edge hyper graph.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

r- regular graph, Hyper graph, r-regular n-edge hyper graph, zagberg degree indices, n- zagberg degree indices.

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Creative Commons Attribution 4.0 and The Open Definition