A Vision Based Static Hand Pose, Hand Movement Recognition System For Sign Language Using Eigen Vector Theory In MATLAB
نویسنده
چکیده
This paper presents a vision based system that provides a feasible solution to Indian Sign Language (ISL) recognition of static gestures of alphabets. It deals with images of bare hands, which allows the user to interact with the system in a natural way. An image is processed and converted to a Eigen vector that will be compared with the Eigen vectors of a training set mean of signs. The most important part of the recognition method is a feature extraction process using Eigen value algorithm in MATLAB coding. An image is processed and converted to a feature vector that will be compared with the feature vectors of a training set mean of signs. The system was implemented and tested using a data set of 650 samples of hand sign images; 25 images for each sign. The system recognizes one handed alphabet signs from Indian sign language (ISL). The proposed system achieved a recognition accuracy of 100 %.
منابع مشابه
Vision Based Hand Gesture Recognition for Indian Sign Languages Using Local Binary Patterns with Support Vector Machine Classifier
Sign Language is a language which uses visually transmitted sign patterns to convey meaning by simultaneously combining hand shapes, orientation and movement of the hands, arms or body, and facial expressions to fluently express one's thoughts / communicate with others and is commonly used by the physically impaired people who cannot speak or hear. Automatic Sign Language system requires fast a...
متن کاملVision-Based Static Hand Gesture Recognition Using Support Vector Machines
Given that advances in technology have increased rapidly over the past few years, developing a vision-based recognition system that could aid in the interaction between the Deaf and the hearing does not sound that far-fetched anymore. We can distinguish between two categories of hand gestures, namely static and dynamic. A static gesture is a particular hand configuration and pose represented by...
متن کاملIndian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
Sign Language Recognition is one of the most growing fields of research today. Many new techniques have been developed recently in these fields. Here in this paper, we have proposed a system using Eigen value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India. The system comprises of four parts: Skin Filtering, Hand Cropping, Feature Ext...
متن کاملStatic Hand Gesture Recognition based on DWT Feature Extraction Technique
Every day number of images are generated which implies the necessity to classify, organise and access them using an easy, faster and efficient way. The classification of images into semantic categories is a challenging and important problem now days. Thus hand gesture image detection and recognition is also difficult task. In this paper a novel system which can be used for sign language recogni...
متن کاملA Visual Recognition of Static Hand Gestures in Indian Sign Language based on Kohonen Self-Organizing Map Algorithm
Indian Sign Language (ISL) or Indo-Pakistani Sign Language is possibly the prevalent sign language variety in South Asia used by at least several hundred deaf signers. It is different in the phonetics, grammar and syntax from other country’s sign languages. Since ISL got standardized only recently, there is very little research work that has happened in ISL recognition. Considering the challeng...
متن کامل