A New Data-Driven Method to Identify Violent Facial Expression

Human Facial Expressions plays an important role in identifying human actions or intention. Facial expressions can represent any specific action of any person and the pattern of violent behavior of any person strongly depends on the geographic region. Here we have designed an automated system by using a Convolutional Neural Network which can detect whether a person has any intention to commit any crime or not. Here we proposed a new method that can identify criminal intentions or violent behavior of any person before executing crimes more efficiently by using very little data on facial expressions before executing a crime or any violent tasks. Instead of using image features which is a time-consuming and faulty method we used an automated feature selector Convolutional Neural Network model which can capture exact facial expressions for training and then can predict that target facial expressions more accurately. Here we used only the facial data of a specific geographic region which can represent the violent and before-crime before-crime facial patterns of the people of the whole region.

Using Chinese Text Processing Technique for the Processing of Sanskrit Based Indian Languages: Maximum Resource Utilization and Maximum Compatibility

Chinese text processing systems are using Double Byte Coding , while almost all existing Sanskrit Based Indian Languages have been using Single Byte coding for text processing. Through observation, Chinese Information Processing Technique has already achieved great technical development both in east and west. In contrast,Indian Languages are being processed by computer, more or less, for word processing purpose. This paper mainly emphasizes the method of processing Indian languages from a Computational Linguistic point of view. An overall design method is illustrated in this paper.This method concentrated on maximum resource utilization and compatibility: the ultimate goal is to have a Multiplatform Multilingual System. Keywords Text Procrssing, Multilingual Text Processing, Chinese Language Processing, Indian Language Processing, Character Coding.