Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks

Application of the background subtraction method and Viola-Jones algorithm for increasing the speed of face tracking in the personality recognition system

“…The problem of automated person identification (recognition) with his face image is much more complicated than simple face detection, and until now there is no algorithm that would be able to recognize person's identity with face image in real conditions as effectively as a human. Every year new approaches to localization, processing and recognition of objects appear, but often these approaches do not have sufficient accuracy, speed and reliability in a real environment, which is characterized by the presence of noise in video sequences, various shooting conditions, such as illumination and the angle in which faces are recorded [1,2]. The methods used to solve the problem of facial recognition should improve the accuracy and reliability of recognition, without having a significant effect on the processing speed of video sequences.…”

Comparative Analysis of Wavelet Transforms in the Recognition of Ancient Grantha Script

“…T. T. T. Bui et al [2] proposed a method where combination of wavelet transforms and PCA has been used as character feature for classification. L. Renjini, R. L. Jyothi [3] performed a survey on various types of wavelet transform and its applications.…”