Hand Sign to Bangla Speech: A Deep Learning in Vision Based System for Recognizing Hand Sign Digits and Generating Bangla Speech

Bangla Hand Written Character Recognition

This paper discusses the different methods for optical character recognition (OCR), which has been an important field to research from a few decades due its huge necessity to convert paper documents or books in computer readable format. Though Bangla (widely used as Bengali) is one of the top uses language among the other languages, but there is no reliable character recognizer for this. Our wo...

Recognition of Static Hand Gestures of Alphabet in Bangla Sign Language

This paper presents a system for recognizing static hand gestures of alphabet in Bangla Sign Language (BSL). A BSL finger spelling and an alphabet gesture recognition system was designed with Artificial Neural Network (ANN) and constructed in order to translate the BSL alphabet into the corresponding printed Bangla letters. The proposed ANN is trained with features of sign alphabet using feed-f...

Automatic Recognition of Bangla Sign Language

Hand Written Bangla Numerals Recognition for Automated Postal System

Recognition of handwritten Bangla numerals finds numerous applications in postal system automation, passports and document analysis and even for number plate identification. However, the recognition rate requires high and reliable accuracy for practical applications. This paper delineate a robust hybrid system for recognition of handwritten Bangla numerals for the automated postal system, which...

Continuous Bangla Speech Segmentation using

This paper presents simple and novel feature extraction approaches for segmenting continuous Bangla speech sentences into words/sub-words. These methods are based on two simple speech features, namely the time-domain features and the frequency-domain features. The time-domain features, such as short-time signal energy, short-time average zero crossing rate and the frequency-domain features, suc...