Translation of Sign Language Finger-Spelling to Text using Image Processing

Abstract

It is difficult for most of us to imagine, but many who are deaf-mute rely on sign language as their primary means of communication. They, in essence, hear and talk through their hands. Sign languages are visual languages. They are natural languages which are used by many deaf-mute people all over the world. In sign language the hands convey most of the information. Hence, vision-based automatic sign language recognition systems have to extract relevant hand features from real life image sequences to allow correct and stable gesture classification. In our proposed system, we intend to recognize some very basic elements of sign language and to translate them to text. Firstly, the video shall be captured frame-by-frame, the captured video will be processed and the appropriate image will be extracted, this retrieved image will be further processed using BLOB analysis and will be sent to the statistical database; here the captured image shall compared with the one saved in the database and the matched image will be used to determine the performed alphabet sign in the language. Here, we will be implementing only American Sign Language Finger-spellings, and we will construct words and sentences with them. General TermsSign language translation, Gesture recognition system.

Finger Spelling Identification by Employing Picture Processing

“…[1][2] It is important to note that just because a spoken language is intelligible transnationally, such as English in the United States and the United Kingdom, does not mean that the sign languages from those regions are as well; ASL an British Sign Language (BSL) were formed independently and are therefore unintelligible. [3] Humans know each other by conveying their ideas, thoughts, and experiences to the people around them. There are numerous ways to achieve this and the best one among the rest is the gift of Speech.…”

“…Page: 2644 will construct words and sentences with them [3]. In the recent years many approaches have been made that uses computer vision algorithms to interpret sign language.…”