We introduce a simple and efficient method for coloring the gray-scale images into the color images with the existing color map or with creating a new one. The general problem of adding chromatic values to a gray-scale image has no exact solution, the current approach attempts to provide a method to minimize the amount of human labor required for this task, rather than choosing RGB colors to individual components, we convert the entire gray-scale image to color by creating a color map then the color map is to be used to color the gray scale image.We show that this simple method can be successfully applied to a variety of gray scale images and it can be applicable in deferent applications.

Creating a color image features is an important and vital task, because these features can be used in a color image recognition system, so decreasing the effort of clustering, and decreasing the feature extraction time will lead to better and efficient color images recognition system. In this paper research we will investigate how using color image histogram will enhance the recognition system, without doing any changes in the accuracy and uniqueness of the kmeans method of features extraction.

Digital voice signal is one of the most widely used type of digital data, it is an important and applicable type of data, & it is used in various applications such human identification systems. Digital voice file usually has a big Size, which means increasing the complexity of the recognition system and decreasing the identification system efficiency. To simplify the recognition system and to increase the system efficiency and accuracy we will introduce a method based on LBP to create a unique voiceprint for each wave file, these voiceprints can be used in a recognition system to identify the person and the spoken voice, we will also discuss how the wave file parameters such as amplitude and sampling rate affect the voiceprint.

Detailed human fingerprints, almost unique, are difficult to change and are permanent on an individual's life, making them suitable as long-term signs of human identity. They may be employed by the police or other authorities to identify individuals who wish to conceal their identity, or identify incapacitated or deceased persons and therefore cannot identify them, as in the aftermath of a natural disaster. Fingerprints images are very important data type due to wide applications requiring this type, so extraction a fingerprint identifier is a vital issue.In this paper we will analyse the fingerprints images in order to extract minutiae from the images, these minutiae will be used to construct the fingerprint identifier, the proposed procedure will be implemented and tested to ensure that the procedure generates a simple and unique identifier, which can be easily used to recognize the fingerprint in any recognition system.