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Personal identification based on face recognition is receiving extensive attention over the last few years in both research and real-time applications due to increasing emphasis on security. In this paper, Face Recognition using the Fusion of bit-plane and binary image compression techniques is presented. Face images are resized to 256 ×256 to obtain the uniformity in the size of face images. The Bit-Plane compression algorithm is applied on the resized image to extract the features of face. Similarly, the Binary image compression technique is applied on 256× 256 resized images to extract the features. The features produced from both the compression techniques are added to obtain the final facial features. Finally, the test features and database features are compared using Euclidean Distance classifier. Extensive experiments are conducted on combined, Indian female, Indian male and JAFFE face database. The true success rate of the proposed model provides better recognition rate than other existing state-of-the-art methods.

international journal of intelligent engineering and systems

Performance Evaluation of Face Recognition Based on the Fusion of Bit-Plane and Binary Image Compression Techniques Using Euclidean Distance Classifier