Steganography is one of the arts and sciences of securing or hiding secret information in some cover media. In the present study, a new steganography technique is developed to hide large data in Bitmap image using stream builder and parity checker. This method uses the concept of odd and even parity for embedding and extracting of secret message. This method is an improvement of Least Significant Bit (LSB) method for hiding information in images. The proposed method can hide large data in a single Bitmap image retaining the advantages and discarding the disadvantages of the LSB method.

In this paper a HCI, namely ThirdHand, has been developed especially fo r physically handicapp ed people who can at least rate their heads and lips. This system fo cuses on the de sign of a head-operated headset that uses two visual light emitting diodes (LEDs) with diff erent colors and a lips-operated push switch. A web cam attached to the computer captures the light of LEDs and translates them into the movement and clicking operations of the mouse pointer on the screen. One of its most important advantages is its accuracy of the user-friendliness. Another advantage is that it requires bellow $1 to produce the hardware partscomparatively lower than many HC! devices developed fo r the same fu nctionality.

Steganography is the art or practice of concealing secrete information into a cover media like text, protocol, file etc. In our proposed algorithm, a new Steganographic technique is developed to hide large amount of data in Bitmap image using the concept of LSB verification method. This method uses first three color components to detect the actual position of the secret bit into the fourth color for embedding and extracting data. This method uses adjacent three colors of image pixels to define the embedding position of message bit into the forth color.