Electronics Students

A class room full of electronics students are depicted hard at work. Note the rows of light bulbs in the ceiling. Black and white photograph.

Nat Gold, Sheet Metal Graduate from the New York Trade School

Nat Gold graduated from the Sheet Metal program at the New York Trade School in 1942. He is represented here in the sheet metal shop he owns. Notice the blueprints for the White Plains Senior High School hanging on the wall behind him. Original caption reads, "Shop Owner, Brook Sheet Metal Inc. Nat Gold - Sheet Metal 1942, represents one of many Sheet Metal graduates who became owners of their own business." Black and white photograph.

Felice Gigante, Data Processing Customer Engineer

Felice Gigante a graduate from the New York Trade School Electronics program works on a machine in his job as Data Processing Customer Engineer for the International Business Machines Corp. Original caption reads, "Felice Gigante - Electronices, International Business Machines Corp." Black and white photograph with caption glued to reverse.

Welding Student at Work

A student in the Welding Department at the New York Trade School is pictured working. Notice the sparks that are being emitted from the equipment. Black and white photograph.

Welding Equipment at the New York Trade School

Pictured is a P & H A.C. Arc Welder that would have been used to teach students in the Welding Department at the New York Trade School. Black and white photograph.

Students at Work in the Welding Department

Several students are pictured in a classroom in the Welding Department at the New York Trade School. Some are shown emerging from welding booths at the right of the photograph. Black and white photograph.

Sign Painting Students at Work

A classroom of students in the Sign Painting Department at the New York Students is shown working on a variety of signs. Black and white photograph.

Sign Painting Student Working Outside

A Sign Painting student from the New York Trade School is pictured working outside on scaffolding on an AMOCO sign. Black and white photograph.

Section of Sign Painting Department

A section of the Sign Painting Department is shown with students working at tables. A variety of signs can be seen hanging around the room including one for a Holiday Inn, an American Meat Market, and one for a Laundrette. Black and white photograph with slight damage from a tear.

Piano Performance at a New York Trade School Commencement

Six piano players spread across the front of the stage at the New York Trade School perform at a commencement ceremony. The graduates can be seen sitting in the first few rows of the auditorium with guests filling up the rest of the space. On the dais several administrators from the New York Trade School are shown. Black and white photograph.

Conductor at a New York Trade School Commencement

This is a close-up of the conductor leading several piano players in a performance at a New York Trade School Commencement ceremony. To the left of the conductor the diplomas to be handed out are standing on a table. Several of the school's administrators are sitting on the dais. Black and white photograph.

Speaker at a New York Trade School Commencement Ceremony

An administrator from the New York Trade School speaks at the school's commencement ceremony. In front of the speaker several athletic awards are positioned on a table. Black and white photograph.

Graduate Receiving Diploma at New York Trade School Commencement

A graduate from the New York Trade School is receiving his diploma from an administrator from the school. Black and white photograph.

Diplomas Handed Out at a New York Trade School Commencement

New York Trade School superintendent George E. McLaughlin hands diplomas to another administrator from the school who is handing them out to students. Black and white photograph.

Fingerprint Segmentation

In this thesis, a new algorithm has been proposed to segment the foreground of the fingerprint from the image under consideration. The algorithm uses three features, mean, variance and coherence. Based on these features, a rule system is built to help the algorithm to efficiently segment the image. In addition, the proposed algorithm combine split and merge with modified Otsu. Both enhancements techniques such as Gaussian filter and histogram equalization are applied to enhance and improve the quality of the image. Finally, a post processing technique is implemented to counter the undesirable effect in the segmented image. Fingerprint recognition system is one of the oldest recognition systems in biometrics techniques. Everyone have a unique and unchangeable fingerprint. Based on this uniqueness and distinctness, fingerprint identification has been used in many applications for a long period. A fingerprint image is a pattern which consists of two regions, foreground and background. The foreground contains all important information needed in the automatic fingerprint recognition systems. However, the background is a noisy region that contributes to the extraction of false minutiae in the system. To avoid the extraction of false minutiae, there are many steps which should be followed such as preprocessing and enhancement. One of these steps is the transformation of the fingerprint image from gray-scale image to black and white image. This transformation is called segmentation or binarization. The aim for fingerprint segmentation is to separate the foreground from the background. Due to the nature of fingerprint image, the segmentation becomes an important and challenging task. The proposed algorithm is applied on FVC2000 database. Manual examinations from human experts show that the proposed algorithm provides an efficient segmentation results. These improved results are demonstrating in diverse experiments.