A New Frame Work for Content Based Image Retrieval Based on Rule Based Motifs on Full Texton Images

G, BinduMadhavi

doi:10.30534/ijatcse/2019/15842019

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general images are processed and identified in different applications [9]. In this paper Facial recognition process starts with a raspberry pi loaded with the images of the trusted users, arranged on the house door with an ultrasonic sensor, camera along with a finger-print sensor.…”

Section: Facial Recognition Processmentioning

confidence: 99%

Multi-Way Door Unlocking Using Raspberry Pi

2020

IJATCSE

View full text Add to dashboard Cite

Security is the main problem in our daily life. Each and every individual person needs to be secure. An access control for the doors of the home or office is very essential in our security pattern. Doors which are locked/unlocked using the traditional locks are not safe as they can be easily broken. Therefore we provide a different way of solution to this problem which could serve full security to our home and other commercial places. Door Locking and Unlocking using Raspberry Pi is one such trial made where we could safe guard the home or any other lock. This system makes use of fingerprint and face detection to unlock doors. The system allows only authorized persons to access the room by unlocking the lock. It makes use of Raspberry Pi which can store the images or fingerprints of persons to authorize. Fingerprints are stored as images. It comprises of webcam which can take photos and fingerprint sensor which is matched with stored data to unlock. The most important and unique part of this model is recognizing an unauthorized user or thief by taking the image and sending it through mail to the admin. If the person is unknown, admin can be able to report it to police in the mean time. Therefore it plays a vital role in reducing the thefts across the country. This programmed multi-way unlocking system will provides users more secure system with minimal effort. The security door lock/unlock automation is an efficient mechanism for the future. The current mechanical door locking system can be replaced by this smart door lock with uses electronics.

show abstract

Section: Facial Recognition Processmentioning

confidence: 99%

Multi-Way Door Unlocking Using Raspberry Pi

2020

IJATCSE

View full text Add to dashboard Cite

show abstract

“…A significant improvement in the recall and precision is achieved in this proposed method .G. Bindu Madhavi , V. Vijaya Kumar , K. Sasidhar [14] proposed new framework for content based image retrieval (CBIR) by deriving color features and texture features This paper initially transforms the RGB color plane image into HSV color plane and derives the individual histograms on H, S and V planes..…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Similarity Measures in Content based Retrieval Using Texture, Shape and Color

Raikar¹

2019

IJATCSE

View full text Add to dashboard Cite

Content based image retrieval (CBIR) provides efficient way to retrieve the images from the databases. The feature extraction and similar attribute measures are the key factors for retrieval performance. We need efficient way to access the visual content from large database. Content based image retrieval (CBIR) provides the solution for efficient retrieval of images from large image database. In this work hybrid feature based CBIR system is proposed with comparison of various distance measures. Spatial features like color histogram, color auto-correlogram, color moments, HSV histogram features and Frequency domain features like Semantic image features Gabor wavelet mean entropy, amplitude, energy. Wavelet moments like mean and the standard deviation of the transform coefficients, Shape feature histogram of oriented gradient , Hu moments are used to form the feature vector. The experiments are performed on flower database which consists of 1360 images from 17 different classes. For our experiment we have chosen 3 different classes of flowers of same color consisting of 100 images each. Experimental result shows that the proposed approach performs better in terms of precision, recall, accuracy of classifier and similarity measures .Shape feature play an prominent role for images with same color, texture. We made the comparison of efficiency of different similarity measures like Mahalanobis , Euclidean, Correlation, Spearman, City block(Manhattan) distances approaches on different images based on color, texture, shape features and found which distance measure is best based on performance.

show abstract

A New Frame Work for Content Based Image Retrieval Based on Rule Based Motifs on Full Texton Images

Cited by 2 publications

References 16 publications

Multi-Way Door Unlocking Using Raspberry Pi

Multi-Way Door Unlocking Using Raspberry Pi

Efficiency of Similarity Measures in Content based Retrieval Using Texture, Shape and Color

Contact Info

Product

Resources

About