Segmentation of handwritten input into individual characters is a crucial step in connected handwriting recognition systems. In this paper we propose a robust scheme to segment handwritten Bangla numbers (numerical strings) against the variability involved in the writing style of different individuals. The segmentation of digits from a number is usually very tricky, as the digits in a Bangla number are seldom vertically separable. We have introduced the concept of Degenerated Lower Chain (DLC) for this purpose. The DLC method was proved efficient in case of segmenting handwriting digits in our experiments. Ten pages of handwritten Bangla numerical strings containing 2000 individual digits that construct 700 numbers written by five different writers of variable ages were segmented by the developed system. The system achieves more than 90% segmentation accuracy on average.

Human and computer interaction has been developed into a wide and sophisticated field. Earlier automating electrical devices were absolutely mechanical. But with the invention of computer system, many computer researchers have tried to create computer based intelligent systems to accomplish many of their functionalities. Touchscreen controlled home automation system is one of them. These fascinating efforts to create intelligent systems are to provide human being a more convenient life. Moreover, it would accelerate the working speed of users. This paper concentrates primarily on experimental experiences on home automation system with a low-cost touchscreen technology. The proposed system provide an environment in which user can give commands by touching desired position on the touchscreen to automate the control of electrical devices. The interfacing circuit is designed using electronic components available in local market to keep the cost at low level.