Artificial Intelligence

Comments
Would you like to comment?

Sign In if already a member, or Join Now for a free account.

Presentation Transcript Presentation Transcript

Artificial Intelligence : 1 Artificial Intelligence

Prepared By:Sary Alashqar Sary-loved116@hotmail.comHossam Barghouth hossam_5000@hotmail.com Abo-elqasem Sh.ali Qasem_ali86@yahoo.com Supervisor:Dr. Mohammed Husain : 2 Prepared By:Sary Alashqar Sary-loved116@hotmail.comHossam Barghouth hossam_5000@hotmail.com Abo-elqasem Sh.ali Qasem_ali86@yahoo.com Supervisor:Dr. Mohammed Husain Pattern Recognition, Speech Recognition & Image Processing

Contents : 3 Contents Introduction to AI Pattern Recognition What is Pattern Recognition system? What is deferent between (PR) and (IP)? Pattern Recognition Procedure. Pattern Recognition Approach.

Contents : 4 Contents Speech Recognition What is speech recognition? Steps of speech recognition. Application of speech recognition. Image Processing What is image? What is image processing?

Contents : 5 Contents Image Processing (cont.) Computer vision (CV). Computer Graphics (CG). What is difference between IP, CG, & CV? Application of (IP). Methods of Image Processing.

Introduction to Artificial Intelligence ( AI ) : 6 Introduction to Artificial Intelligence ( AI ) What is AI ? AI is a branch of computer science concerned with mechanize the human intelligent behavior. AI is built with: Database system: to represent acknowledgment and data. Algorithms: describe how to use data. Programming Languages: to represent both data and algorithms.

Introduction to Artificial Intelligence ( AI ) : 7 Introduction to Artificial Intelligence ( AI ) Importance of AI: AI is the field where human brain and machine talks together. Understand human intelligence and it's complicated operations. The ability of building computer models for any field in the life and specify relation between its elements.

Introduction to Artificial Intelligence ( AI ) : 8 Introduction to Artificial Intelligence ( AI ) Application of AI: Game playing Theorem proving Expert systems Speech & image processing Modeling human performance Planning robotics Machine learning

Introduction to Artificial Intelligence ( AI ) : 9 Introduction to Artificial Intelligence ( AI ) How to implement AI within computers? Using specific programming languages Examples: Lisp Python Prolog Java C++ Visual Basic

Slide 10 : 10 Pattern Recognition

Pattern recognition system : 11 Pattern recognition system What is Pattern recognition system? Pattern recognition is a branch of artificial intelligence that involves identifying input data with the goal of understanding that input. What is different between (PR) and (IP)?

Pattern recognition system : 12 Pattern recognition system Pattern recognition Procedure: The first step of the procedure extracts from the input data which characterize the objects. Based on these features, the objects are identified and stored into classes. Pattern Recognition Approach : Template-Matching and correlation Method. Statical Approach. Syntactic and Structural Approach. Neural Networks Approach.

Pattern recognition system : 13 Pattern recognition system Feature extraction approach:

Slide 14 : 14 Speech Recognition

Speech Recognition : 15 Speech Recognition What is speech recognition? It means that computer can identify human speech. When the system receive your speech, three step will be accomplished: Pre-Processing. Recognition. Communication

Speech Recognition : 16 Speech Recognition Pre-Processing: Speech will be converted into binary form (0,1)

Speech Recognition : 17 Speech Recognition voice recorded is continuous signal. continuous signal is converted into discrete signal.

Speech Recognition : 18 Speech Recognition then the discrete signal converted into binary form operation called QUANTIZATION. Time

Speech Recognition : 19 Speech Recognition 2. Recognition: Speech will be processed using recognition methods which are identification and verification. How?

Speech Recognition : 20 Speech Recognition Identification: Every voice template has distance measurement differs from one to another. Identification use distance measurement to distinguish between different voice. Identification result not absolutely right but is nearly closer. Verification: Examine the result of identification weather it match the voice exactly or not.

Speech Recognition : 21 Speech Recognition 3. Communication: To assign the result in different hardware and software applications. Applications of speech recognition: Security : to allow or prevent entrance through secured establishments. Mobiles : to dial up numbers using voice service. Medicine : to diagnosis some illnesses. Control : to control electrical devices with human speech.

Slide 22 : 22 Image Processing

Image Processing : 23 Image Processing What is image? Image defined as a tow dimensional function F(x,y), where x, y are the coordinates of image. What is image processing? Techniques usually transform image into other image by improves or modifies the image quality (noise reduction, edge sharpening/detection).

Image Processing : 24 Image Processing Computer vision (CV): create a description of the imaged scene (Analysis of image). Computer Graphics (CG): generates images from geometric primitives (described) such as lines, circles, and free-form surface (Synthesis of image).

Image Processing : 25 Image Processing What is difference between IP, CG, & CV?

Image Processing : 26 Image Processing Application of IP: Medical image processing Enhancement of X-ray, computed Tomography (CT). Factory automation Quality control Robotics Military Target Tracking Security Finger/hand print analysis Eye retina comparison Face recognition Weather mapping Video conferencing

Image Processing : 27 Image Processing Steps of Image Processing: Optical image capture Analog image signals -Video camera, television ,… Digital image Processing -Computer processor

Slide 28 : 28 Image Processing

Image Processing : 29 Image Processing Summary

Conclusion : 30 Conclusion The concept of AI is explained. How the pattern recognition system used to classify pattern. We able to realize the steps of speech processing system. The image processing technique are listed and the main concepts depends on this system became obvious.

Slide 31 : 31 Thanks For All

Get Free Study material and Classes, Join WiZiQ for Free!
Name: Email address: Confirm Email address: Password:
(6 or more characters)

(Enter the text you see in the picture above)
Join Now I have read and agree to WiZiQ's User Agreement and Privacy Policy
Copyrights © 2010 authorGEN. All rights reserved.