Search

Although template matching method is widely used for object identification, the large computational time is the major drawback to use this method in real time application. Using the concepts of replication and massive parallelism operations, the DNA computing algorithm can efficiently reduce the computational time of the template matching method. The emphasis of this research has been given in two objectives, namely development of a generic DNA computing algorithm for object identification based on the theme of the template matching technique and application of this algorithm for recyclable waste paper sorting. The achieved classification success rates are 92%, 90%, and 93% with template size 5 × 5 pixels for white paper, old newsprint paper and old corrugated cardboard, respectively.

An Automated Road Sign Recognition system using Artificial Neural Network for the Textual Information box inscribing in Bengali is presented in this paper. The system captures real time images every two seconds and saves them as JPG format files. The system processes the images to find out whether they contain images of road signs or not. The textual information of the road signs is detected and extracted from the images. The Bengali OCR system takes the textual information as an input to recognize individual Bengali characters. The Bengali OCR is implemented using Multi layer Perceptron. The output of the Bengali OCR system is compared with the previously enrolled standard Bengali textual road signs. The throughput which comes from the matching process is used as input for the speech synthesizer and finally the system delivers the audio stream to the driver, either in Bengali or in English based on the user settings. After testing this system, the obtained accuracy rate was evaluated at 91.48%.

There are four forms for most of the Arabic characters- initial, medial, final and isolated. This paper presents the design of a complete display unit for Arabic alphanumeric characters using uniform segments. The word ‘complete’ signifies that the proposed display unit can represent all forms of entire Arabic alphabets as well as Arabic numerals. The word ‘uniform’ is used because of avoiding curved segments. The first segmented display unit for Arabic characters in the world covered only the isolated form and did not follow any base line to display a sequence of characters. This work extends the capability to represent all the forms of Arabic characters and follows a base line to represent a sequence of characters. Here a grid structure of 25 non-overlapping segments has been discovered. There can be 109 alphanumeric characters (at least 99 characters such as isolated form- 30, final form-29, medial form- 21, initial form- 20; and 10 numerals) to be displayed and 7-bit input is used to represent each character. After analyzing appropriate segments to be activated for every character, respective logic functions of all segments have been derived to display the entire set of Arabic alphanumeric characters.